Patent Publication Number: US-2020293613-A1

Title: Method and system for identifying and rendering hand written content onto digital display interface

Description:
TECHNICAL FIELD 
     The present subject matter is related in general to content rendering and digital pen-based computing, more particularly, but not exclusively to a method and system for identifying and rendering hand written content onto digital display interface of an electronic device. 
     BACKGROUND 
     With advancement in Information Technology (IT), usage of digital devices has increased substantially in recent years across all age groups. With an increase in the digital devices, people generate lots of digital content for seamless exchange in real time and archival. Typically, while generating any content, components such as, text, tables, figures, graphs and the like play a significant role in the content. While there are many software tools available to ingest such variants individually, it is more comfortable for a user to write fast with freehand sketches, tables or graphs on a paper rather than looking for the right application and type or use a mouse/joystick to ingest the content. 
     In order to support such requirement, existing systems enable the user to hold a stylus or any pointing devices to write on a paper or any smooth surface. In such case, virtual handwritten characters are translated to one of standard fonts which a machine can understand and interpret. While existing technologies stand at this point, there exist significant hurdles for comfortable use. Particularly, in the pointing devices, there is a lack of mechanism to distinguish figures, OCR, tables, drawings and the like and everything is treated as a figure. Also, it is required that the existing systems know a priori what the user is trying to write is the text, the figure or table and the like. Further, existing systems may lack in providing a mechanism to map three-dimensional and four-dimensional objects through the pointing devices. Additionally, tracing, scanning and presenting subsequent views of three-dimensional and four-dimensional objects pose a problem in such space. 
     The information disclosed in this background of the disclosure section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art. 
     SUMMARY 
     In an embodiment, the present disclosure may relate to a method for identifying and rendering hand written content onto digital display interface of an electronic device. The method includes receiving content handwritten by a user in real-time using a digital pointing device. From the content, one or more digital objects is identified based on coordinate vector formed between the digital pointing device and a boundary within which the user writes along with coordinates of the boundary using a trained neural network. The method includes converting the one or more digital objects to a predefined standard size and identifying one or more characters associated with the one or more digital objects based on a plurality of predefined character pair and corresponding coordinates. Further, a dimension space required for each of the one or more digital objects is determined based on corresponding coordinate vector to render on the digital display interface. Each of the one or more digital objects are converted to the determined dimension space. Thereafter, the method includes rendering the one or more digital objects and the one or more characters handwritten by the user in a predefined standard format on the digital display interface. 
     In an embodiment, the present disclosure may relate to a content providing system for identifying and rendering hand written content onto digital display interface of an electronic device. The content providing system may include a processor and a memory communicatively coupled to the processor, where the memory stores processor executable instructions, which, on execution, may cause the content providing system to receive content handwritten by a user in real-time using a digital pointing device. From the content, one or more digital objects is identified based on coordinate vector formed between the digital pointing device and a boundary within which the user writes along with coordinates of the boundary using a trained neural network. The content providing system converts the one or more digital objects to a predefined standard size and identifies one or more characters associated with the one or more digital objects based on a plurality of predefined character pair and corresponding coordinates. Further, the content providing system determines a dimension space required for each of the one or more digital objects based on corresponding coordinate vector to render on the digital display interface. Each of the one or more digital objects are converted to the determined dimension space. Thereafter, the content providing system renders the one or more digital objects and the one or more characters handwritten by the user in a predefined standard format on the digital display interface. 
     In an embodiment, the present disclosure relates to a non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor may cause a content providing system to receive content handwritten by a user in real-time using a digital pointing device. From the content, one or more digital objects is identified based on coordinate vector formed between the digital pointing device and a boundary within which the user writes along with coordinates of the boundary using a trained neural network. The instruction causes the processor to convert the one or more digital objects to a predefined standard size and identifies one or more characters associated with the one or more digital objects based on a plurality of predefined character pair and corresponding coordinates. Further, the instruction causes the processor to determine a dimension space required for each of the one or more digital objects based on corresponding coordinate vector to render on the digital display interface. Each of the one or more digital objects are converted to the determined dimension space. Thereafter, the instruction causes the processor to render the one or more digital objects and the one or more characters handwritten by the user in a predefined standard format on the digital display interface. 
     The foregoing summary is illustrative only and is not intended to be in any way limiting. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features will become apparent by reference to the drawings and the following detailed description. 
    
    
     
       BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS 
       The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate exemplary embodiments and, together with the description, serve to explain the disclosed principles. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The same numbers are used throughout the figures to reference like features and components. Some embodiments of system and/or methods in accordance with embodiments of the present subject matter are now described, by way of example only, and with reference to the accompanying figures, in which: 
         FIG. 1  illustrates an exemplary environment for identifying and rendering hand written content onto digital display interface of an electronic device in accordance with some embodiments of the present disclosure; 
         FIG. 2 a    shows a detailed block diagram of a content providing system in accordance with some embodiments of the present disclosure; 
         FIG. 2 b    shows an exemplary representation of a standard contour library of alphabets in accordance with some embodiments of the present disclosure; 
         FIG. 2 c    shows an exemplary Convolutional Neural Network (CNN) for segregating type of digital objects; 
         FIG. 2 d    shows an exemplary representation of converting one or more digital objects to predefined standard in accordance with some embodiments of the present disclosure; 
         FIG. 2 e    shows an exemplary representation for identification of characters using neural networks in accordance with some embodiments of the present disclosure; 
         FIG. 2 f    shows an exemplary representation of images of two consecutive alphabets letters in accordance with embodiments of the present disclosure; 
         FIG. 2 g    shows an exemplary representation of scaling characters in accordance with some embodiments of the present disclosure; 
         FIG. 3  illustrates a flowchart showing a method for identifying and rendering hand written content onto digital display interface of an electronic device in accordance with some embodiments of present disclosure; and 
         FIG. 4  illustrates a block diagram of an exemplary computer system for implementing embodiments consistent with the present disclosure. 
     
    
    
     It should be appreciated by those skilled in the art that any block diagrams herein represent conceptual views of illustrative systems embodying the principles of the present subject matter. Similarly, it will be appreciated that any flow charts, flow diagrams, state transition diagrams, pseudo code, and the like represent various processes which may be substantially represented in computer readable medium and executed by a computer or processor, whether or not such computer or processor is explicitly shown. 
     DETAILED DESCRIPTION 
     In the present document, the word “exemplary” is used herein to mean “serving as an example, instance, or illustration.” Any embodiment or implementation of the present subject matter described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments. 
     While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however that it is not intended to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternative falling within the scope of the disclosure. 
     The terms “comprises”, “comprising”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, device or method that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or device or method. In other words, one or more elements in a system or apparatus proceeded by “comprises . . . a” does not, without more constraints, preclude the existence of other elements or additional elements in the system or method. 
     In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings that form a part hereof, and in which are shown by way of illustration specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense. 
     Embodiments of the present disclosure relate to a method and a content providing system for identifying and rendering hand written content onto digital display interface of an electronic device. In an embodiment, the electronic device may be associated with a user. Particularly, in order to provide any information most users find freehand writing to be most ease and comfortable. Typically, the users may use pointing devices for writing content such that the written content are translated to one or more standard format. Though, such systems provide freehand mechanism to the users, the systems may lack to distinguish objects such as, figures, OCR, tables, drawings and the like from the content. The present disclosure in such case may identify one or more digital objects from content handwritten by a user using a digital pointing device by a trained neural network. The one or more digital objects may be text, table, graph, figure and the like. Characters associated with the one or more digital objects may be determined based on a plurality of predefined character pairs. Dimension space required for each of the one or more digital objects is determined based on corresponding coordinate vector such that each of the one or more digital objects are converted to respective determined dimension space. Thereafter, the one or more digital objects along with characters handwritten by the user may be rendered in a predefined standard format on the digital display interface. The present disclosure accurately differentiate between figures, tables, characters and graphs hand written/gestured by the user for rendering on the electronic device. 
       FIG. 1  illustrates an exemplary environment for identifying and rendering hand written content onto digital display interface of an electronic device in accordance with some embodiments of the present disclosure. 
     As shown in  FIG. 1 , an environment  100  includes a content providing system  101  connected through a communication network  109  to a digital pointing device  103  and an electronic device  105  associated with a user. A person skilled in the art would understand that the content providing system  101  may be connected to a plurality of digital pointing devices and electronic devices associated with users (not shown explicitly in the  FIG. 1 ). Further, the content providing system  101  may also be connected to a database  107 . In an embodiment, the digital pointing device  103  may refer to an input device which may capture handwriting or brush strokes of a user and converts handwritten information into digital content. The digital pointing device  103  may include digital pen, stylus and the like. A person skilled in the art would understand that any other digital pointing device  103  not mentioned herein explicitly may also be used in the present disclosure. The electronic device  105  may be associated with users who may be holding the digital pointing device  103 . The electronic device  105  may be rendered with content in a predefined format as selected by the user. In an embodiment, the electronic device  105  may include, but is not limited to, a laptop, a desktop computer, a Personal Digital Assistant (PDA), a notebook, a smartphone, IOT devices, a tablet, a server, and any other computing devices. A person skilled in the art would understand that, any other devices, not mentioned explicitly, may also be used as the electronic device  105  in the present disclosure. 
     The content providing system  101  may identify and render hand written content onto a digital display interface (not shown explicitly in  FIG. 1 ) of the electronic device  105 . In an embodiment, the content providing system  101  may exchange data with other components and service providers (not shown explicitly in  FIG. 1 ) using the communication network  109 . The communication network  109  may include, but is not limited to, a direct interconnection, an e-commerce network, a Peer-to-Peer (P2P) network, Local Area Network (LAN), Wide Area Network (WAN), wireless network (for example, using Wireless Application Protocol), Internet, Wi-Fi and the like. In one embodiment, the content providing system  101  may include, but is not limited to, a laptop, a desktop computer, a Personal Digital Assistant (PDA), a notebook, a smartphone, IOT devices, a tablet, a server, and any other computing devices. A person skilled in the art would understand that, any other devices, not mentioned explicitly, may also be used as the content providing system  101  in the present disclosure. 
     Further, the content providing system  101  may include an I/O interface  111 , a memory  113  and a processor  115 . The I/O interface  111  may be configured to receive the real-time content handwritten by the user using the digital pointing device  103 . The real-time content from the I/O interface  111  may be stored in the memory  113 . The memory  113  may be communicatively coupled to the processor  115  of the content providing system  101 . The memory  113  may also store processor instructions which may cause the processor  115  to execute the instructions for identifying and rendering hand written content onto digital display interface of an electronic device. 
     Considering a real-time situation, where the user writes using the digital pointing device  103 . In such case, the content providing system  101  receives the real-time content handwritten by the user. As the user writes, the content providing system  101  may identify one or more digital objects from the content. The content providing system  101  may use a trained neural network model for identifying the one or more digital objects. In an embodiment, the neural network model may include a Convolutional Neural Network (CNN) technique. The neural network model may be trained previously using a plurality of handwritten content and plurality of digital objects identified manually. The content providing system  101  may identify the one or more digital objects based on coordinate vector formed between the digital pointing device  103  and a boundary formed within which the user writes along with coordinates of the boundary. For instance, the coordinate vector may be x, y and z axis coordinates. In an embodiment, the one or more digital objects may include, but not limited to, paragraphs, text, alphabets, table, graphs and figures. Further, the coordinate vector and the coordinates of the boundary are retrieved from one or more sensors attached to the digital pointing device  103 . 
     The one or more sensors may include an accelerometer, a gyro meter and the like. In an embodiment, the one or more digital objects may be a character when the digital pointing device  103  is identified to be not lifted, a table when the digital pointing device  103  is identified to be lifted a plurality of times based on number of rows and columns in the table and as figures based on tracing of coordinates and relations. Further, the one or more digital object may be a graph based on contours or points in the boundary. The content providing system  101  converts each of the one or more digital objects to a predefined standard size. In an embodiment, the conversion to predefined standard size may be required as the user may write in three-dimensional space with different font free size. On converting to the predefined standard size, the content providing system  101  may identify one or more characters associated with the one or more digital objects. For instance, the one or more characters may be associated with the text, or text in the table, figure, graph and the like. The one or more characters may be identified based on a plurality ofpredefined character pair and corresponding coordinates using a Long Short-Term Memory (LS™) neural network model. In an embodiment, the content providing system  101  may generate a user specific contour based on handwritten content previously provided by the user. The user specific contour may be stored in the database  107 . 
     The user specific contour may include the predefined character pair. Further, the content providing system  101  may determine a dimension space for each of the one or more digital objects based on corresponding coordinate vector. In an embodiment, each of the one or more digital objects may be converted to the determined dimension space. In an embodiment, each character in the one or more digital objects may be converted to a predefined standard size. For instance, a character length may be scaled-up or scaled down in order to ensure different size of characters to a same level. Thereafter, the content providing system  101  may render the one or more digital objects and the one or more characters handwritten by the user in a predefined standard format on the digital display interface of the electronic device  105 . In an embodiment, the predefined standard format may be word format, image format, excel and the like based on choice of the user. 
       FIG. 2 a    shows a detailed block diagram of a content rendering system in accordance with some embodiments of the present disclosure. 
     The content providing system  101  may include data  200  and one or more modules  211  which are described herein in detail. In an embodiment, data  200  may be stored within the memory  113 . The data  200  may include, for example, user content data  201 , digital object data  203 , character data  205 , output data  207  and other data  209 . 
     The user content data  201  may include the user specific contour generated based on handwritten content previously provided by the user. In an embodiment, the user specific contour may be stored in a standard contour library of alphabets. The standard contour library of alphabets may be stored in the database  107 . Alternatively, user content data  201  may contain the standard contour library of alphabets. In an embodiment, the user specific contour may be generated based on a text consisting of all alphabets, cases, digits and figures such as, circle, rectangle, square and the like, tables of any number of rows and column, a figure provided by the user.  FIG. 2 b    shows an exemplary representation of a standard contour library of alphabets. Similarly, such standard contour library may be generated for tables, digits, figures and the like. Further, the user content data  201  may include the real-time content handwritten by the user using the digital pointing device  103 . 
     The digital object data  203  may include the one or more digital objects identified from the content handwritten by the user. The one or more digital objects may include the paragraphs, the text, the alphabets, the tables, the graphs, the figures and the like. 
     The character data  205  may include the one or more characters identified for each of the one or more objects identified from the content. In an embodiment, the characters may be alphabets, digits and the like. 
     The output data  207  may include content which may be rendered on the electronic device  105  of the user. The content may include the one or more digital objects along with the one or more characters. 
     The other data  209  may store data, including temporary data and temporary files, generated by modules  211  for performing the various functions of the content providing system  101 . 
     In an embodiment, the data  200  in the memory  113  are processed by the one or more modules  211  present within the memory  113  of the content providing system  101 . In an embodiment, the one or more modules  211  may be implemented as dedicated units. As used herein, the term module refers to an application specific integrated circuit (ASIC), an electronic circuit, a field-programmable gate arrays (FPGA), Programmable System-on-Chip (PSoC), a combinational logic circuit, and/or other suitable components that provide the described functionality. In some implementations, the one or more modules  211  may be communicatively coupled to the processor  115  for performing one or more functions of the content providing system  101 . The said modules  211  when configured with the functionality defined in the present disclosure will result in a novel hardware. 
     In one implementation, the one or more modules  211  may include, but are not limited to a receiving module  213 , a digital object identification module  215 , a conversion module  217 , a character identification module  219 , a dimension determination module  221  and a content rendering module  223 . The one or more modules  211  may also include other modules  225  to perform various miscellaneous functionalities of the content providing system  101 . In an embodiment, the other modules  225  may include standard contour library generation module and a character conversion module. The standard contour library generation module may create the user specific contour to update in the standard contour library of the alphabets. Particularly, the user is requested to customize one time before by writing the text consisting of all alphabets, cases, digits and simple figures like circle, rectangle, square and circle, tables, figures and the like. The standard contour library generation module builds the user specific contour library for the user. In case the user specific contour is not is available, the standard contour library generation module may use the standard contour library. 
     The exemplary standard contour library of alphabets is shown in  FIG. 2 b   . In one implementation, character strokes are decomposed for each characters. In an embodiment, average user stroke may happen due to the average stroke/character of a large number of characters obtained offline. In one embodiment, the standard contour library may contain all possible two consecutive letters. For instance, in English, it adds to “676” entries. In an embodiment, if lower case alphabets followed by upper case alphabets and consecutive upper cases are supported, it adds to “2028” entries. In an embodiment, upper case alphabets followed by lower case alphabets, such as bAt or bAT, may be omitted for simplicity.  FIG. 2 f    shows an exemplary representation of images of two consecutive alphabets letters in accordance with embodiments of the present disclosure. A similar table may be generated for lower alphabet letters followed by capital letter. In an embodiment, based on the table, any combination of cursive letters may be recognized with using the CNN. In an embodiment, the CNN model may be pre trained with training datasets of letter combinations. Further, the character conversion module may convert each character in the one or more digital objects to the predefined standard size. In an embodiment, the character conversion module may define a rectangular boundary around a region containing the one or more characters to scale down or scale up characters to the predefined size. The character conversion module done may scale-up or scale-down the characters based on start and end coordinates of the one or more characters. 
       FIG. 2 g    shows an exemplary representation of scaling characters in accordance with some embodiments of the present disclosure. In an embodiment, the character conversion module may identify the region of interest. In an embodiment, the digital display interface of the user may be split into two halves to enable what the user is typing and what may be rendered. For instance, if the user feels that an error may be occurred typing, correction may be performed by erasing. In an embodiment, erasing may be initiated by reversing the digital pointing device  103  and rubbing virtually or with a press of a button in the digital pointing device  103 . The character conversion module may place the one or more characters being typed in the region of interest of main window. 
     The receiving module  213  may receive the content handwritten by the user in real-time from using the digital pointing device  103 . The receiving module  213  may receive the user specific contour from the digital pointing device  103 . Further, the receiving module  213  may receive the one or more digital objects and the one or more characters handwritten by the user in the predefined standard format for rendering onto the digital display interface of the electronic device  105 . 
     The digital object identification module  215  may identify the one or more digital objects from the content based on the coordinate vector formed between the digital pointing device  103  and the boundary within which the user writes along with the coordinates of the boundary. In an embodiment, the coordinate vector and the coordinates of the boundary are retrieved from the one or more sensors attached to the digital pointing device  103 . The one or more sensors may include accelerometer and gyro meter. In an embodiment, the coordinate details of the x, y and z components derived from accelerometer and gyro meter may determine the coordinate vector. For instance, as soon as the user lifts the digital pointing device  103 , value of “z” axis may change, in case of writing in x, y plane. In an embodiment, the one or more digital objects may include paragraphs, text, character, alphabets, table, graphs, figures and the like. In an embodiment, a way of lifting the digital pointing device  103  while writing may help in determining the one or more digital objects. For instance, the digital object identification module  215  may identify the character when the digital pointing device  103  is identified to be not lifted. For instance, for a connected letter in a word such as, ‘al’ in altitude, or for full word such as ‘all’, the digital pointing device  103  may likely be not lifted. 
     Further, when a word or a part of the word is written, the characters may be segregated using a moving window until a match with a character is identified. In an embodiment, the boundary of writings is marked which may increase in one direction if the user writes characters and rolls back after regular intervals of coordinates. The one or more digital objects is identified as the table when the digital pointing device  103  is identified to be lifted the plurality of times based on number of rows and columns in the table. For instance, movement of the digital pointing device  103  may be, left start and right end for rows separator and upstart, down end for column separators. In an embodiment, the one or more digital objects may be the table, if the user continuously writes in a closed boundary after a regular lift of the digital pointing device  103  in the boundary. Further, the one or more digital objects may be identified as the figures such as, circle, rectangle, triangle and the like based on tracing of coordinates and relations and as the graphs based on contours or points in the boundary. 
     In an embodiment, the one or more digital objects may be the figure, if the user fills up writings other than characters in a fixed region.  FIG. 2 c    shows an exemplary Convolutional Neural Network (CNN) for segregating type of digital objects. As shown in the  FIG. 2 c   , a CNN model  227  may segregate the one or more digital objects based on the coordinate vectors and the boundary coordinates. In an embodiment, a capsule network may be used to support 3D projections of the characters. In an embodiment, the digital object identification module  215  may absorbs line thickness or intensity of change to provide an indication of an overwriting or retrace while writing the characters. For example, while writing the character such as, ‘ch’, vertical arm of the word “h” may be retraced. 
     The conversion module  217  may convert the one or more digital objects to the predefined standard size. In an embodiment, the conversion may be required since the user uses fonts of free size while writing in 3D space. The conversion module  217  may scale the size of the one or more digital objects to get the standard size. In an embodiment, the scaling may be performed non-uniformly.  FIG. 2 d    shows an exemplary representation of converting one or more digital objects to predefined standard in accordance with some embodiments of the present disclosure. 
       FIG. 2 d    shows a character as the digital object. The character “d” represented by  229  is written too long. Thus, the conversion module  217  may convert the character “d”  229  to a scaled version “d”  231  by making scaling lower part of the character “d”  229 . Similarly, a broad part of the character may be converted to the predefined standard size by performing horizontal scaling. For example, in a letter “a”, if a ‘o’ part in bottom left is too small, the conversion module  217  may scale bottom part of the letter. In an embodiment, down sampling or wavelets may be used to reduce size. 
     The character identification module  219  may identify the one or more characters associated with the one or more digital objects based on the plurality of predefined character pair and corresponding coordinates. In an embodiment, when the one or more characters are associated with the tables, graphs or figures, the character identification module  219  may place the one or more characters at right row and the column of the tables and right position in the graphs and figures based on the coordinates. In an embodiment, when the one or more digital objects contain more than one character, the characters may be split into single characters through objection detection. In such context, the one or more characters may be objects and the coordinates of each object may be extracted from corresponding digital object to extract the character. The character identification module  219  may use a combination of CNN, for visual feature generation, and the LSTM for remembering sequence of characters in a word.  FIG. 2 e    shows an exemplary representation for identification of characters using neural networks in accordance with some embodiments of the present disclosure. 
       FIG. 2 e    shows the combination of the CNN model  227  and an LSTM model  233 . The combination of CNN model  227  and the LSTM model  233  may classify the handwritten character in to a standard font caption or class. In an embodiment, once the one or more characters are retrieved from the LSTM model  233 , the character pairs may be applied to another CNN for verifying correctness of the one or more identified characters. 
     The dimension determination module  221  may determine the dimension space required for each of the one or more digital objects based on corresponding coordinate vector. For instance, if the one or more digital objects may be identified as the figure or the graph, the dimension determination module  221  may check the “z” coordinate variations, which indicates thickness. In an embodiment, if the thickness or the “z” coordinate is relatively small than other dimensions, the dimension determination module  221  may consider the dimension as aberration and convert the digital object to two-dimensional plane. In another embodiment, if the dimension is the three-dimensional plane, the dimension determination module  221  may transform the digital object to a mesh with corresponding coordinates. The mesh may be filled in encompassing the space curve provided by the user. In another implementation, the user written curves may be scaled to the standard size and compared with vocabulary like words. In an embodiment, the standard curves such as, a rectangle may replace the user written curves with a rectangle object present in the standard library of figures. In an embodiment, the dimension determination module  221  may fill missing coordinates for the digital objects from the standard library while scanning the three-dimensional object. Same procedures may be applied for the four-dimensional objects. 
     The content rendering module  223  may render the one or more digital objects and the one or more characters handwritten by the user in the predefined standard format on the digital display interface of the electronic device  105 . The content rendering module  223  may render by mapping the coordinates of the one or more digital object and one or more characters to coordinates of the electronic device  105 . In an embodiment, the three-dimensional objects may be observed on the digital display with hep of a three-dimensional glass. In an embodiment, the one or more digital objects and the one or more characters is time controlled to achieve a realistic video effect. 
       FIG. 3  illustrates a flowchart showing a method for identifying and rendering hand written content onto digital display interface of an electronic device in accordance with some embodiments of present disclosure. 
     As illustrated in  FIG. 3 , the method  300  includes one or more blocks for identifying and rendering hand written content onto digital display interface of an electronic device. The method  300  may be described in the general context of computer executable instructions. Generally, computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, and functions, which perform particular functions or implement particular abstract data types. 
     The order in which the method  300  is described is not intended to be construed as a limitation, and any number of the described method blocks can be combined in any order to implement the method. Additionally, individual blocks may be deleted from the methods without departing from the scope of the subject matter described herein. Furthermore, the method can be implemented in any suitable hardware, software, firmware, or combination thereof. 
     At block  301 , the content handwritten by the user is received by the receiving module  213  in real-time using the digital pointing device  103 . 
     At block  303 , the one or more digital objects may be identified by the digital object identification module  215  from the content based on the coordinate vector formed between the digital pointing device  103  and the boundary within which the user writes along with coordinates of the boundary. In an embodiment, the digital object identification module  215  may use the trained neural network model for identifying the one or more digital objects. 
     At block  305 , the one or more digital objects may be converted by the conversion module  217  to the predefined standard size. 
     At block  307 , the one or more characters associated with the one or more digital objects may be identified by the character identification module  219  based on the plurality of predefined character pair and corresponding coordinates. 
     At block  309 , the dimension space required for each of the one or more digital objects is determined by the dimension determination module  221  based on the corresponding coordinate vector. In an embodiment, each of the one or more digital objects are converted to the determined dimension space. 
     At block  311 , the one or more digital objects and the one or more characters handwritten by the user may be rendered by the content rendering module  223  in the predefined standard format on the digital display interface. 
       FIG. 4  illustrates a block diagram of an exemplary computer system  400  for implementing embodiments consistent with the present disclosure. In an embodiment, the computer system  400  may be used to implement the content providing system  101 . The computer system  400  may include a central processing unit (“CPU” or “processor”)  402 . The processor  402  may include at least one data processor for identifying and rendering hand written content onto digital display interface of an electronic device. The processor  402  may include specialized processing units such as, integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, etc. 
     The processor  402  may be disposed in communication with one or more input/output (I/O) devices (not shown) via I/O interface  401 . The I/O interface  401  may employ communication protocols/methods such as, without limitation, audio, analog, digital, monoaural, RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS/2, BNC, coaxial, component, composite, digital visual interface (DVI), high-definition multimedia interface (HDMI), RF antennas, S-Video, VGA, IEEE 802.n/b/g/n/x, Bluetooth, cellular (e.g., code-division multiple access (CDMA), high-speed packet access (HSPA+), global system for mobile communications (GSM), long-term evolution (LTE), WiMax, or the like), etc. 
     Using the I/O interface  401 , the computer system  400  may communicate with one or more I/O devices such as input devices  412  and output devices  413 . For example, the input devices  412  may be an antenna, keyboard, mouse, joystick, (infrared) remote control, camera, card reader, fax machine, dongle, biometric reader, microphone, touch screen, touchpad, trackball, stylus, scanner, storage device, transceiver, video device/source, etc. The output devices  413  may be a printer, fax machine, video display (e.g., Cathode Ray Tube (CRT), Liquid Crystal Display (LCD), Light-Emitting Diode (LED), plasma, Plasma Display Panel (PDP), Organic Light-Emitting Diode display (OLED) or the like), audio speaker, etc. 
     In some embodiments, the computer system  400  consists of the content providing system  101 . The processor  402  may be disposed in communication with the communication network  409  via a network interface  403 . The network interface  403  may communicate with the communication network  409 . The network interface  403  may employ connection protocols including, without limitation, direct connect, Ethernet (e.g., twisted pair 10/100/1000 Base T), transmission control protocol/internet protocol (TCP/IP), token ring, IEEE 802.11a/b/g/n/x, etc. The communication network  409  may include, without limitation, a direct interconnection, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), the Internet, etc. Using the network interface  403  and the communication network  409 , the computer system  400  may communicate with a digital pointing device  414  and an electronic device  415 . The network interface  403  may employ connection protocols include, but not limited to, direct connect, Ethernet (e.g., twisted pair 10/100/1000 Base T), transmission control protocol/internet protocol (TCP/IP), token ring, IEEE 802.11 a/b/g/n/x, etc. 
     The communication network  409  includes, but is not limited to, a direct interconnection, an e-commerce network, a peer to peer (P2P) network, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), the Internet, Wi-Fi and such. The first network and the second network may either be a dedicated network or a shared network, which represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), etc., to communicate with each other. Further, the first network and the second network may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, etc. 
     In some embodiments, the processor  402  may be disposed in communication with a memory  405  (e.g., RAM, ROM, etc. not shown in  FIG. 4 ) via a storage interface  404 . The storage interface  404  may connect to memory  405  including, without limitation, memory drives, removable disc drives, etc., employing connection protocols such as, serial advanced technology attachment (SATA), Integrated Drive Electronics (IDE), IEEE-1394, Universal Serial Bus (USB), fiber channel, Small Computer Systems Interface (SCSI), etc. The memory drives may further include a drum, magnetic disc drive, magneto-optical drive, optical drive, Redundant Array of Independent Discs (RAID), solid-state memory devices, solid-state drives, etc. 
     The memory  405  may store a collection of program or database components, including, without limitation, user interface  406 , an operating system  407  etc. In some embodiments, computer system  400  may store user/application data, such as, the data, variables, records, etc., as described in this disclosure. Such databases may be implemented as fault-tolerant, relational, scalable, secure databases such as Oracle or Sybase. 
     The operating system  407  may facilitate resource management and operation of the computer system  400 . Examples of operating systems include, without limitation, APPLE MACINTOSH® OS X, UNIX®, UNIX-like system distributions (E.G., BERKELEY SOFTWARE DISTRIBUTION™ (BSD), FREEBSD™, NETBSD™, OPENBSD™, etc.), LINUX DISTRIBUTIONS™ (E.G., RED HAT™, UBUNTU™, KUBUNTU™, etc.), IBM™ OS/2, MICROSOFT™ WINDOWS™ (XP™, VISTA™/7/8, 10 etc.), APPLE® IOS™, GOOGLE® ANDROID™, BLACKBERRY® OS, or the like. 
     In some embodiments, the computer system  400  may implement a web browser  408  stored program component. The web browser  408  may be a hypertext viewing application, for example MICROSOFT® INTERNET EXPLORER™, GOOGLE® CHROME™, MOZILLA® FIREFOX™, APPLE® SAFARI™, etc. Secure web browsing may be provided using Secure Hypertext Transport Protocol (HTTPS), Secure Sockets Layer (SSL), Transport Layer Security (TLS), etc. Web browsers  708  may utilize facilities such as AJAX™, DHTML™, ADOBE® FLASH™, JAVASCRIPT™, JAVA™, Application Programming Interfaces (APIs), etc. In some embodiments, the computer system  400  may implement a mail server stored program component. The mail server may be an Internet mail server such as Microsoft Exchange, or the like. The mail server may utilize facilities such as ASP™, ACTIVEX™, ANSI™ C++/C#, MICROSOFT®, .NET™, CGI SCRIPTS™, JAVA™, JAVASCRIPT™, PERL™, PHP™, PYTHON™, WEBOBJECTS™, etc. The mail server may utilize communication protocols such as Internet Message Access Protocol (IMAP), Messaging Application Programming Interface (MAPI), MICROSOFT® exchange, Post Office Protocol (POP), Simple Mail Transfer Protocol (SMTP), or the like. In some embodiments, the computer system  400  may implement a mail client stored program component. The mail client may be a mail viewing application, such as APPLE® MAIL™, MICROSOFT® ENTOURAGE™, MICROSOFT® OUTLOOK™, MOZILLA® THUNDERBIRD™, etc. 
     Furthermore, one or more computer-readable storage media may be utilized in implementing embodiments consistent with the present disclosure. A computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein. The term “computer-readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., be non-transitory. Examples include Random Access Memory (RAM), Read-Only Memory (ROM), volatile memory, non-volatile memory, hard drives, CD ROMs, DVDs, flash drives, disks, and any other known physical storage media. 
     An embodiment of the present disclosure helps user in rendering hand written text to a machine readable specific format. 
     An embodiment of the present disclosure may be robust to take a 3D curve generated while writing the text. It can fill up for discontinuities in trajectory. 
     An embodiment of the present disclosure can differential between figures, tables, characters and graphs written/gestured by the user. 
     An embodiment of the present disclosure may scan simple 3D objects, 4D objects. 
     The described operations may be implemented as a method, system or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof. The described operations may be implemented as code maintained in a “non-transitory computer readable medium”, where a processor may read and execute the code from the computer readable medium. The processor is at least one of a microprocessor and a processor capable of processing and executing the queries. A non-transitory computer readable medium may include media such as magnetic storage medium (e.g., hard disk drives, floppy disks, tape, etc.), optical storage (CD-ROMs, DVDs, optical disks, etc.), volatile and non-volatile memory devices (e.g., EEPROMs, ROMs, PROMs, RAMs, DRAMs, SRAMs, Flash Memory, firmware, programmable logic, etc.), etc. Further, non-transitory computer-readable media include all computer-readable media except for a transitory. The code implementing the described operations may further be implemented in hardware logic (e.g., an integrated circuit chip, Programmable Gate Array (PGA), Application Specific Integrated Circuit (ASIC), etc.). 
     Still further, the code implementing the described operations may be implemented in “transmission signals”, where transmission signals may propagate through space or through a transmission media, such as, an optical fiber, copper wire, etc. The transmission signals in which the code or logic is encoded may further include a wireless signal, satellite transmission, radio waves, infrared signals, Bluetooth, etc. 
     The transmission signals in which the code or logic is encoded is capable of being transmitted by a transmitting station and received by a receiving station, where the code or logic encoded in the transmission signal may be decoded and stored in hardware or a non-transitory computer readable medium at the receiving and transmitting stations or devices. An “article of manufacture” includes non-transitory computer readable medium, hardware logic, and/or transmission signals in which code may be implemented. A device in which the code implementing the described embodiments of operations is encoded may include a computer readable medium or hardware logic. Of course, those skilled in the art will recognize that many modifications may be made to this configuration without departing from the scope of the invention, and that the article of manufacture may include suitable information bearing medium known in the art. 
     The terms “an embodiment”, “embodiment”, “embodiments”, “the embodiment”, “the embodiments”, “one or more embodiments”, “some embodiments”, and “one embodiment” mean “one or more (but not all) embodiments of the invention(s)” unless expressly specified otherwise. 
     The terms “including”, “comprising”, “having” and variations thereof mean “including but not limited to”, unless expressly specified otherwise. 
     The enumerated listing of items does not imply that any or all of the items are mutually exclusive, unless expressly specified otherwise. 
     The terms “a”, “an” and “the” mean “one or more”, unless expressly specified otherwise. 
     A description of an embodiment with several components in communication with each other does not imply that all such components are required. On the contrary, a variety of optional components are described to illustrate the wide variety of possible embodiments of the invention. 
     When a single device or article is described herein, it will be readily apparent that more than one device/article (whether or not they cooperate) may be used in place of a single device/article. Similarly, where more than one device or article is described herein (whether or not they cooperate), it will be readily apparent that a single device/article may be used in place of the more than one device or article or a different number of devices/articles may be used instead of the shown number of devices or programs. The functionality and/or the features of a device may be alternatively embodied by one or more other devices which are not explicitly described as having such functionality/features. Thus, other embodiments of the invention need not include the device itself. 
     The illustrated operations of  FIG. 3  show certain events occurring in a certain order. In alternative embodiments, certain operations may be performed in a different order, modified or removed. Moreover, steps may be added to the above described logic and still conform to the described embodiments. Further, operations described herein may occur sequentially or certain operations may be processed in parallel. Yet further, operations may be performed by a single processing unit or by distributed processing units. 
     Finally, the language used in the specification has been principally selected for readability and instructional purposes, and it may not have been selected to delineate or circumscribe the inventive subject matter. It is therefore intended that the scope of the invention be limited not by this detailed description, but rather by any claims that issue on an application based here on. Accordingly, the disclosure of the embodiments of the invention is intended to be illustrative, but not limiting, of the scope of the invention, which is set forth in the following claims. 
     While various aspects and embodiments have been disclosed herein, other aspects and embodiments will be apparent to those skilled in the art. The various aspects and embodiments disclosed herein are for purposes of illustration and are not intended to be limiting, with the true scope and spirit being indicated by the following claims. 
     
       
         
           
               
            
               
                   
               
               
                 REFERRAL NUMERALS: 
               
            
           
           
               
               
            
               
                 Reference number 
                 Description 
               
               
                   
               
               
                 100 
                 Environment 
               
               
                 101 
                 Content providing system 
               
               
                 103 
                 Digital pointing device 
               
               
                 105 
                 Electronic device 
               
               
                 107 
                 Database 
               
               
                 109 
                 Communication network 
               
               
                 111 
                 I/O interface 
               
               
                 113 
                 Memory 
               
               
                 115 
                 Processor 
               
               
                 200 
                 Data 
               
               
                 201 
                 User content data 
               
               
                 203 
                 Digital object data 
               
               
                 205 
                 Character data 
               
               
                 207 
                 Output data 
               
               
                 209 
                 Other data 
               
               
                 211 
                 Modules 
               
               
                 213 
                 Receiving module 
               
               
                 215 
                 Digital object identification module 
               
               
                 217 
                 Conversion module 
               
               
                 219 
                 Character identification module 
               
               
                 221 
                 Dimension determination module 
               
               
                 223 
                 Content rendering module 
               
               
                 225 
                 Other modules 
               
               
                 227 
                 Other modules 
               
               
                 229 
                 Person 
               
               
                 231 
                 Bouquet 
               
               
                 233 
                 Gun 
               
               
                 400 
                 Computer system 
               
               
                 401 
                 I/O interface 
               
               
                 402 
                 Processor 
               
               
                 403 
                 Network interface 
               
               
                 404 
                 Storage interface 
               
               
                 405 
                 Memory 
               
               
                 406 
                 User interface 
               
               
                 407 
                 Operating system 
               
               
                 408 
                 Web browser 
               
               
                 409 
                 Communication network 
               
               
                 412 
                 Input devices 
               
               
                 413 
                 Output devices 
               
               
                 414 
                 Digital pointing device 
               
               
                 415 
                 Electronic device