Abstract:
A method of reliably capturing biometric print images includes determining the print quality of a scanned image, detecting prints in the scanned image, and determining whether the scanned image is ready for capture. The method includes filtering the scanned image, binarizing the filtered image, detecting print area, print contrast, and print shape of the binarized image, and separating the print image into individual print images based on the print area, contrast, and shape. Each individual print image is classified base on a predetermined quality threshold and a quality classification of each individual print image is indicated. The method includes a predetermined capture delay time period, quality time period, and scanner timeout period. An operator can annotate issues regarding missing or unacceptable print images. A system of reliably capturing biometric print images includes a scanner including a print capture manager, a computer, and a communication link between the computer and scanner.

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
   The present application is related to U.S. Provisional Patent Application No. 60/348,678, filed on Jan. 17, 2002, which is incorporated by reference herein in its entirety. 
   The present application is related to U.S. patent application Ser. No. 10/345,420 and U.S. patent application Ser. No. 10/345,366, both filed on Jan. 16, 2003, which are incorporated by reference herein in their entireties. 
   BACKGROUND OF THE INVENTION 
   1. Field of the Invention 
   The present invention is generally related to biometric imaging systems. More particularly, the present invention is related to the reliable obtainment of quality biometric print images. 
   2. Background Art 
   Biometrics is a science involving the analysis of biological characteristics. Print capture and recognition is an important biometric technology. Law enforcement, banking, voting, and other industries increasingly rely upon prints as a biometric to store, recognize or verify identity. See, e.g., Gary Roethenbaugh, “Biometrics Explained,” International Computer Security Association, Inc., pp. 1-34 (1998), which is incorporated by reference herein in its entirety. Generally, a biometric is a measurable, physical characteristic or personal behavior trait used to recognize the identity, or verify the claimed identity, of a person who has a biometric reference template (e.g., data that represents a biometric measurement) on file. 
   There are a number of different types of biometric imaging systems. For example, one type of biometric imaging system is a print scanner (also called a live scanner). Print scanners often serve as input devices to an Automatic Fingerprint Identification System (AFIS). Automatic Fingerprint Identification Systems can be used for law enforcement purposes to collect print images from criminal suspects when they are arrested. 
   One type of print scanner is a ten-print scanner. Typically, ten-print scanners require each finger to be imaged using a roll print technique. A flat print technique or a slap print technique may also be used. Unfortunately, it is sometimes difficult to obtain quality prints because of the scanner timing or the awkward placement of the fingers. For example, an operator of an AFIS input device may have to reset the device and/or rescan every time a user does not place his or her fingers on a scanner platen correctly. Or, as an alternative example, the operator may have to reset the device and/or rescan every time a user does not get his or her fingers in place before the scanner captures an image. Poor print quality or incorrect placement can cause a set of captured prints to be rejected by an AFIS. The result of having to deal with such difficulties is that the process of obtaining prints, such as during an arrest or background check, becomes relatively complex and time-consuming. 
   Currently, biometric imaging systems lack the ability to reliably capture quality biometric print images. What is needed is a system and method of efficiently capturing biometric print images of good quality and integrity. 
   BRIEF SUMMARY OF THE INVENTION 
   Embodiments of the present invention provide a biometric imaging system and method that can reliably process and capture quality print images while ensuring data and print image integrity. The system and method can be used to capture print impressions as a single image and segment the single image to create separate images for further processing. 
   Embodiments of the present invention provide a method including the steps of initiating camera operation within a scanner, scanning a biometric object to obtain a scanned print image, processing the scanned image, determining the print quality of individual print images in the scanned image, detecting prints in the scanned image, and determining whether the scanned image is ready for capture based on an expected number of prints detected and the quality of those print images. The method includes capturing the scanned image, processing the captured image, and forwarding the captured image to a computer. The method further includes allowing an operator to annotate quality issues regarding the captured image, such as information about individual print images that are missing or of unacceptable quality. The method also includes timing out the scanner when no print images are detected and a predetermined scanner timeout period has expired. 
   Embodiments of the present invention provide a method including filtering a scanned image, binarizing the filtered image, detecting print area based on the binarized image, detecting print contrast based on the detected print area and the scanned image, detecting print shape based on the binarized image, and separating the print image into individual print images based on the print area, contrast, and shape detected. The method also includes determining print image quality of each individual print image based on minutiae data extracted from the individual print images, such as pattern detail. 
   Embodiments of the present invention provide a method including classifying each individual print image based on a predetermined quality threshold and indicating a quality classification of the individual print images to an operator. 
   Embodiments of the present invention provide a method including the use of a predetermined capture delay time period, quality time period, and scanner timeout period, which contribute to the effectiveness of the method. 
   Embodiments of the present invention are directed to a biometric print imaging system for reliably processing and capturing print images. The system includes means of providing the method steps in the aforementioned method embodiments. 
   Embodiments of the present invention are directed to a biometric print image scanner system that reliably captures print images. The system includes a scanner that scans print images of biometric objects. The scanner includes a print capture manager that determines when a scanned print image is ready for capture. The system also includes a computer that stores and displays data regarding the captured print images. The computer also allows an operator to input annotation regarding the captured print images. The system also includes a communication link between the computer and the scanner that allows the transfer of data regarding the captured print images. 
   Embodiments of the present invention include a scanner with a sensor that detects print images, an output device that displays to an operator information regarding the scanned print images, and a controller that controls interoperation of the sensor, the print capture manager, and the output device. The sensor includes a platen that receives biometric objects, such as fingers or thumbs, and a camera that scans print images of the biometric objects. The output device includes individual quality indicators for individual print images. The individual quality indicators are areas of a liquid crystal display (LCD) highlighted by symbols, shades, or colors that represent a quality classification of each individual print image. 
   Embodiments of the present invention include a computer that includes a memory that stores data regarding captured print images. The computer also includes an operator interface that displays to an operator the captured print image data and allows an operator to input annotation regarding the captured print images. The operator interface includes a monitor on which an operator can view captured print image information and an input device from which an operator can input annotation. 
   Further embodiments, features, and advantages of the present invention, as well as the structure and operation of the various embodiments of the present invention, are described in detail below with reference to the accompanying drawings. 

   
     BRIEF DESCRIPTION OF THE FIGURES 
     The accompanying drawings, which are incorporated herein and form part of the specification, illustrate the present invention and, together with the description, further serve to explain the principles of the invention and to enable a person skilled in the pertinent art(s) to make and use the invention. 
       FIG. 1A  shows an exemplary biometric imaging system according to an embodiment of the present invention. 
       FIG. 1B  shows the exemplary biometric imaging system of  FIG. 1A  in more detail. 
       FIG. 2  shows print image quality indicators according to an embodiment of the present invention. 
       FIG. 3A  shows a routine for the capture of biometric print images according to an embodiment of the present invention. 
       FIG. 3B  shows a routine of processing an image according to an embodiment of the present invention. 
       FIG. 3C  shows a routine of indicating print image quality according to an embodiment of the present invention. 
       FIG. 3D  shows a routine of processing a captured image according to an embodiment of the present invention. 
       FIG. 4A  shows a portion of a ten-print scanner as is used in an embodiment of the present invention, indicating feedback that all print images are of good quality. 
       FIG. 4B  shows a portion of a ten-print scanner as is used in an embodiment of the present invention, indicating feedback that one print image is not of good quality. 
       FIG. 5  shows an operator interface screen through which an operator can provide annotation regarding individual print images. 
   

   The features and advantages of the present invention will become more apparent from the detailed description set forth below when taken in conjunction with the drawings in which like reference characters identify corresponding elements throughout. In the drawings, like reference numbers generally indicate identical, functionally similar, and/or structurally similar elements. The drawings in which an element first appears is indicated by the leftmost digit(s) in the corresponding reference number. 
   DETAILED DESCRIPTION OF THE INVENTION 
   While the present invention is described herein with reference to illustrative embodiments for particular applications, it should be understood that the invention is not limited thereto. Those skilled in the art(s) with access to the teachings provided herein will recognize additional modifications, applications, and embodiments within the scope thereof and additional fields in which the present invention would be of significant utility. 
   Sections 
   
       
       
         
           Terminology 
           The Biometric Imaging System 
           Real-Time Feedback Quality Indicators 
           Method of Processing and Capturing Print Images 
           Conclusion
 
Terminology
 
         
       
     
  
   To more clearly delineate the present invention, an effort is made throughout the specification to adhere to the following term definitions consistently. 
   The term “finger” refers to any digit on a hand including, but not limited to, a thumb, an index finger, middle finger, ring finger, or a pinky finger. 
   The term “print” can be any type of print including, but not limited to, a print of all or part of one or more fingers, palms, toes, foot, hand, etc. A print can also be a rolled print, a flat print, or a slap print. 
   The term “print image” refers to any of the various types of image data representing the print, which may include, but is not limited to, grey scale data, binary data, or any other type of raw or processed image data. 
   The term “biometric data” or “biometric information” throughout the specification can be any data representative of a biometric, a digital or other image of a biometric (e.g., a bitmap or other file), extracted digital or other information relating to the biometric (e.g., a template based on minutiae detail), etc. The data may refer to print boundaries, contrast, or ridge patterns, for example. 
   The term “minutiae” includes unique and measurable physical characteristics of a print. For fingerprints, minutiae include the starting and ending point of ridges and ridge junctions among features. 
   The term “scan” refers to the taking of any type of print image by a print scanner. A scan can include, but is not limited to, a scan of a finger, a finger roll, a flat finger, slap print of four fingers, thumb print, palm print, or a combination of fingers, such as, sets of fingers and/or thumbs from one or more hands or one or more palms disposed on a platen. 
   In a scan, one or more fingers or palms from either a left hand or a right hand or both hands are placed on a platen of a scanner. Different types of print images are detected depending upon a particular application. For example, a flat print consists of a fingerprint image of a digit (finger or thumb) pressed flat against the platen. A roll print consists of an image of a digit (finger or thumb) made while the digit (finger or thumb) is rolled from one side of the digit to another side of the digit over the surface of the platen. A slap print consists of an image of four flat fingers pressed flat against the platen. A platen can be movable or stationary depending upon the particular type of scanner and the type of print being captured by the scanner. 
   The terms “biometric imaging system,” “scanner,” “fingerprint scanner,” and “print scanner” are used interchangeably, and refer to any type of scanner which can obtain an image of all or part of one or more fingers, palms, toes, foot, hand, etc. in a live scan. The obtained images can be combined in any format including, but not limited to, a Federal Bureau of Investigation (FBI), state, or international ten-print format. 
   The Biometric Imaging System 
   Embodiments of the present invention provide a biometric imaging system and method. Although ten-print capture and four finger slap capture are the preferred system and method described throughout the specification and/or claims, it is to be appreciated that any available number of fingers and/or thumbs are also contemplated within the scope of the present invention. Thus, even when the above terminology is used, it can include less fingers and/or thumbs. In addition, it is to be appreciated that other biometric objects having prints are also contemplated within the scope of the present invention, including palms, hand, toes, foot, etc. 
   The biometric imaging system can provide a simplified way to reliably capture biometric image prints. For example, fingerprints can be captured by allowing four finger slap impressions to be captured in a single image. A simultaneous impression of the four fingers from one hand captured as a single image can then be segmented to create up to four separate images. After the fingerprints from the fingers from both hands are captured, thumb prints from both hands can be captured simultaneously. Each individual extracted image can then be placed within the corresponding finger and/or thumb print box on a fingerprint card to save for future identification or verification purposes. Examples of such processes for print capture and separation are further described in U.S. patent application Ser. No. 10/345,420 and U.S. patent application Ser. No. 10/345,366, which are incorporated by reference herein in their entireties. 
   Proper sequencing of the placement of biometric objects (e.g., finger and/or thumb prints) can be performed using software analysis and/or physical properties of a platen. The platen may also include a finger guide to help physically divide digits. This process is further described in U.S. patent application Ser. No. 10/345,420 and U.S. patent application Ser. No. 10/345,366, which are incorporated by reference herein in their entireties. 
   Biometric print images can be presented on a screen, such as a monitor coupled to a personal computer, to provide real time quality checks and assistance with correction. This is further described with reference to  FIGS. 1A ,  1 B, and  2 . 
     FIG. 1A  is a high level block diagram illustrating a biometric imaging system  100  according to one embodiment of the present invention. Biometric imaging system  100  includes a computer  102 , a scanner  104 , and an interface link  106 . In one embodiment, interface link  106  is a 1394 serial interface bus that couples scanner  104  to computer  102 . The 1394 is an IEEE standard for a high performance serial bus designed to provide high speed data transfers. The 1394 is a cost-effective way to share real-time information from data intensive applications, such as cameras, camcorders, VCRs, video disks, scanners, etc. The present invention is not limited to a 1394 interface. Any type of interface can be used to couple scanner  104  and computer  102 . Communications over interface link  106  can be one or two-way communications. 
   Computer  102  may be any commercial off-the-shelf computer. For example, computer  102  may be a personal computer (PC). An example implementation of computer  102  is described in U.S. patent application Ser. No. 10/345,420 and U.S. patent application Ser. No. 10/345,366, which are incorporated by reference herein in their entireties. After reading this description, it will be apparent to a person skilled in the relevant art how to implement the invention using other computer systems and/or computer architectures. 
   Computer  102  includes a memory  110 . Memory  110  is preferably random access memory (RAM), however other types of memory may be used, such as a hard disk drive, or removable storage units such as a floppy disk, a magnetic tape, an optical disk, etc. Removable storage units are read by and written to by removable storage drives. As will be appreciated, a hard disk drive and a removable storage unit may each include a computer usable storage medium having stored therein computer software and/or data. 
   Referring to  FIG. 1B , computer programs (not shown) (also called computer control logic or software) are stored in memory  110 . Such computer programs, when executed, enable computer  102  to perform one or more of the features of the present invention as discussed herein. Accordingly, such computer programs represent controllers of computer  102 . In particular, a computer program, when executed, enables an operator interface  108  that allows an operator to enter annotation associated with a captured biometric print image that computer  102  receives from scanner  104 . This is herein described in more detail with reference to  FIG. 5 . As will be apparent to a person skilled in the relevant art, embodiments of the present invention may also be implemented primarily in hardware or as a combination of both hardware and software. 
   In an embodiment of the present invention, operator interface  108  includes a monitor (not shown) and input device (e.g., a keyboard and/or mouse) (not shown). For example, the monitor is used to provide real-time feedback to an operator with regard to current captured biometric print images. In addition, the input device is used by the operator to input annotation with regard to captured biometric print images. 
   In an embodiment of the present invention, scanner  104  includes a sensor  114 , a controller  116 , and an output device  118 . Controller  116  includes print capture manager  117 . Scanner  104  illuminates an area of a platen (not shown) for receiving one or more fingers. In an embodiment, sensor  114  is a camera such as a digital camera. Sensor  114  detects print images of prints placed on the platen. Controller  116  controls the interoperation of sensor  114 , print capture manager  117 , and output device  118 . Print capture manager  117  captures print images in an embodiment of the present invention as described further below with respect to  FIGS. 3A-3C . The fingerprint image and any associated information regarding the fingerprint image can be forwarded from scanner  104  to computer  102 . Similarly, information or feedback regarding the fingerprint image can be forwarded to output device  118  for display to an operator. 
   Control functionality described above, including all or part of the functionality of print capture manager  117 , can be carried out by a scanner, such as a ten-print scanner, a computer coupled to the scanner, or distributed between both the scanner and the computer. Embodiments of the system have been described above with regard to a camera, including but not limited to a digital camera. This is not intended to limit the present invention because any type of sensor, detector, or camera can be used to scan and capture a print image as is known in the art. 
   Real-Time Feedback Quality Indicators 
   In one embodiment of the present invention, output device  118  indicates the quality of a biometric print image. This feedback is provided in real-time by the system with every image scanned. For example, output device  118  could include one or more quality indicators, perhaps with each quality indicator associated with a specific finger of a four-slap fingerprint image. In one embodiment of the invention, output device  118  includes one or more indicators comprising light-emitting diodes (LEDs). In another embodiment, the indicators are multi-color LEDs. In that embodiment, a red LED may indicate poor quality, a green LED may indicate acceptable quality, and an amber LED may indicate possibly acceptable quality. In another embodiment, the indicators are bar graph LED indicators, wherein the level of the bar indicates quality acceptance. In still further embodiments, the indicators are any electrical, mechanical, or audio device or signal known to alert a user of a condition, as would be known to one skilled in the art. In one embodiment, different symbols are used on a liquid crystal display (LCD) to indicate quality level, as depicted in  FIG. 2 . Quality indicator field  200  provides quality indicators for up to four fingers of a four-slap print image. Indicator  220  shows, by a checkmark, that the image of the finger associated with indicator  220  is of good quality. Similarly, indicator  222  shows, by an “X” that the image of the finger associated with indicator  222  is not of good quality. This embodiment is further described below with reference to  FIGS. 4A and 4B . It is appreciated that other symbols, as well as other indicators such as colors, shades, shapes, or words, can be used to denote quality levels. 
     FIG. 4A  shows a portion of a ten-print scanner  400 . To use ten-print scanner  400 , a user places his or her fingers  484  or thumbs  486  upon a platen  488 . Scanner  104  then illuminates an area of platen  488 , collects information from that area of platen  488 , and converts the collected information into a fingerprint image. The collected information is based on light reflected off platen  488 . Scanning occurs repeatedly, typically on the order of once every millisecond or less. An indicator field  200  on output device  118  provides real-time feedback for each image scanned. For example, in  FIG. 4A , indicator field  200  is a portion of an LCD screen on scanner  104 . In  FIG. 4A , all four indicators  490 , each associated with an individual finger  484 , are checkmarks indicating that the individual print image of each finger  484  is of good quality. Contrastingly, in  FIG. 4B , indicator  492  associated with pointer finger  484  is an “X,” indicating that the print image of pointer finger  484  is not of good quality. In this way, indicator field  200  is very useful to an operator of scanner  104  in that the operator can immediately determine if the fingers  484  need adjusted placement on platen  488  to obtain a quality print image. 
   Quality indications can also be displayed at a separate display on the biometric imaging system. For example, an external computer  102  can output a variety of displays on a monitor indicating quality of print images. 
   Method of Processing and Capturing Print Images 
     FIG. 3A  describes a routine  300  for capture of biometric print images according to an embodiment of the present invention (steps  330 - 358 ). For convenience, routine  300  is described with reference to imaging system  100 , and in particular to print capture manager  117 . However, routine  300  is not intended to be limited to this embodiment or structure. In step  330 , print capture manager  117  initiates camera operation within scanner  104 . In step  332 , a biometric object is scanned to obtain a scanned print image. Print capture manager  117  processes each scanned image (step  334 ), and outputs a real-time quality indication to the operator (step  336 ). The processing step  334  and the quality indication step  336  are described further in reference to  FIGS. 3B and 3C , respectively. The real-time quality indication is also described earlier herein with reference to  FIGS. 4A and 4B . 
   If in step  338 , print capture manager  117  detects no prints, and has not detected any prints during a predetermined timeout period in step  340 , then print capture manager  117  issues a control signal timeout to scanner  104  in step  342 , and routine  300  ends at step  358 . The purpose of the predetermined timeout period is to time out scanner  104  if it is determined that no prints were detected during that amount of time. For example, if an operator initiates imaging system  100 , but no one places fingers on the platen for the predetermined timeout period, then scanner  104  times out. Alternatively, if a user places fingers on the platen for scanning, but subsequently removes them, and they remain removed for the predetermined timeout period, scanner  104  times out. In an embodiment of the present invention, the predetermined timeout period is sixty seconds. However, the predetermined timeout period is adjustable. A scanner timeout typically entails the stoppage of camera operation. If no prints are detected in step  338 , and the predetermined timeout period in step  340  has not expired, then the routine returns to step  332  to scan the biometric object to obtain a subsequent print image. 
   In an embodiment of the present invention, print capture manager  117  expects four prints for a four finger slap image or expects two prints for an image of the thumbs. If prints are detected in step  338 , then print capture manager  117  determines whether the scanned image is ready for capture based on the expected number of prints and the quality of the scanned print images. If not all expected prints are present within the scanned print image, or if not all of the expected prints are of good quality, then the routine continues at step  348 . 
   In step  348 , print capture manager  117  determines whether a predetermined quality time period has expired. In an embodiment of the present invention, the predetermined quality time period is five seconds. However, the predetermined quality time period is adjustable. For example, in an embodiment of the invention, if not all expected prints are present within the scanned print image, or if not all of the expected prints are of good quality, then the system determines whether it has been attempting to capture this set of prints for a predetermined quality time period of five seconds. If the predetermined quality time period has not expired in step  348 , then the routine returns to step  332  to scan the biometric object to obtain a subsequent print image. If, on the other hand, in step  348 , imaging system  100  determines that the predetermined quality time period has expired, the routine continues at step  350 . 
   In step  350 , the latest scanned print image is captured. In step  352 , the captured image is processed. The processing step  352  is herein further described later in reference to  FIG. 3D . In step  354 , the captured image is forwarded. In an embodiment of the present invention, the captured image is forwarded to computer  102  for further processing and storage in memory  110  as herein described earlier with reference to  FIGS. 1A and 1B . For example, in the next step  356 , an operator is given the opportunity to annotate issues with regard to individual print images. In an embodiment, this annotation is done through an operator interface  108  of computer  102 .  FIG. 5  shows an example annotation screen  500 , according to an embodiment of the present invention. Statement  594  describes a print quality issue requiring operator comment. Checkboxes  596  allow the operator to denote which finger requires further comment. The operator is then given the opportunity to comment in annotation fields  598 . Referring back to  FIG. 3A , after the operator is given the opportunity to annotate issues with regard to individual print images in step  356 , routine  300  ends at step  358 . 
   Referring again to step  344 , if all expected prints are present within the scanned image and are all of good quality, then print capture manager  117  determines at step  346  whether the prints remained in this state for a predetermined capture delay time period. In an embodiment of the present invention, the predetermined capture delay time period is one half second. However, the predetermined capture delay time period is adjustable. If in step  346  the prints remained in this state for a predetermined capture delay time period, then the routine continues at step  350 . In step  350 , the latest scanned image is captured. In step  352 , the captured image is processed. The processing step  352  is herein further described later in reference to  FIG. 3D . In step  354 , the captured image is forwarded. In an embodiment of the present invention, the captured image is forwarded to computer  102  for further processing and storage in memory  110  as herein described earlier with reference to  FIGS. 1A and 1B . The routine then ends at step  358 . 
   Referring again to step  346 , if the expected prints do not remain present or if they do not all remain in good quality for the predetermined capture delay time period, then the routine continues at step  348 . Step  348  is described earlier herein. 
     FIG. 3B  further describes processing scanned image step  334 , starting immediately with step  360 . In step  360 , the scanned image is filtered to remove all high frequency content, which corresponds to ridge and valley transitions of a finger. Thus, the scanned fingerprint image is filtered to remove all of the ridge and valley transitions to indicate the outlying of the fingerprint area. 
   In step  362 , a binarization process is performed. The binarization process removes all of the grey areas and replace them with either black or white pixels based on a black and white threshold point. In one embodiment, the binarization process begins by taking an average grey scale value of the filtered image. In this instance, the average grey scale value is the black and white threshold point. In this embodiment, all of the pixel values above the average value are replaced with white pixels and all the pixel values equal to and below the average value are replaced with black pixels. The resulting image is comprised of all black and white pixels that define a print area, contrast, and shape. 
   In step  364 , a print area is detected. Usually, the black areas of the image are concentrated around the prints. Thus, the detection step detects the areas concentrated by black pixels. In step  366 , the print contrast is detected. Print contrast is further evidence of print area. For example, if the contrast is found to be low, that area of low contrast may not even be associated with the print image. In step  368 , print shapes are detected. For example, fingerprint shapes can be oval-like shapes. In the print shape detection step, the areas concentrated by black pixels that are comprised of oval-like shapes are detected. In step  370 , the print image is separated into individual print images based on the print area, contrast, and shape detected. Step  372  ends the routine for processing the scanned image and allows the calling routine to continue where it left off. 
     FIG. 3C  further describes print quality indication step  336 , starting immediately with step  374 . In step  374 , each individual print image is classified based on a predetermined quality threshold. It is to be appreciated that quality threshold levels are changeable and may be based on customer requirements. For example, one customer&#39;s requirements may be to set the acceptable quality threshold at 90% and the unacceptable quality threshold at 10%. Another customer&#39;s requirements may not be as stringent, only requiring the acceptable quality threshold to be at 80% and the unacceptable quality threshold to be at 20%. In an embodiment of the present invention, the quality classification includes acceptable (i.e., good) or not acceptable. In step  376 , the quality classification of each individual print image is indicated in real-time to the operator. The real-time quality indication is also described earlier herein with reference to  FIGS. 4A and 4B . In step  378 , the routine continues with step  338 , described earlier herein. 
     FIG. 3D  further describes processing captured image step  352 , starting immediately with step  334 . In step  334 , the process is identical to that of processing the scanned image as described above with reference to  FIG. 3B . The routine then continues with step  380 . In step  380 , a quality determination is made based on minutiae data extracted from the individual print images. The term ‘minutiae’ refers to unique and mearsurable characteristics of a print, including the starting and ending points of ridges and ridge junctions among features. In step  382 , the routine continues with step  354 , described earlier herein. 
   As described earlier with reference to step  354  in  FIG. 3A , in an embodiment of the present invention, a captured image is forwarded to computer  102  for further processing and storage in memory  110  as described earlier with reference to  FIGS. 1A and 1B . In an embodiment, further processing includes properly sequencing each individual print. For example, during the fingerprinting of a person, such as a criminal suspect, after a four finger slap and thumb print set for each hand is captured, the system asks for each finger to be separately scanned again in a roll print. The system asks for each finger in a specific order and compares each roll print with the corresponding individual print image of the slap print image previously obtained to ensure that it is the correct finger. If it is not the correct finger, the operator will be asked to make the correction. This sequencing technique allows for the proper placement of each fingerprint on a fingerprint card, for example. In this way, the fingerprint data maintains not only its quality, but also its integrity, and can then be easily used by authorities such as the FBI or similar agency for identification or verification purposes. 
   CONCLUSION 
   While specific embodiments of the present invention have been described above, it should be understood that they have been presented by way of example only, and not limitation. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined in the appended claims. Thus, the breadth and scope of the present invention should not be limited by any of the above-described exemplary embodiments, but should be defined only in accordance with the following claims and their equivalents.