Hiragana Handwriting Recognition Using Deep Neural Network Search These days there is a huge demand in xe2x80x9cstoring the information available in paper documents into a computer storage diskxe2x80x9d. Digitizing manual filled forms lead to handwriting recognition, a process of translating handwriting into machine editable text. The main objective of this research is to to create an Android application able to recognize and predict the output of handwritten characters by training a neural network model. This research will implement deep neural network in recognizing handwritten text recognition especially to recognize digits, Latin  Alphabet and Hiragana, capture an image or choose the image from gallery to scan the handwritten text from the image, use the live camera to detect the handwritten text real xe2x80x93 time without capturing an image and could copy the results of the output from the offline recognition and share it to other platforms such as notes, Email, and social media.

Japanese Character Segmentation for Historical Handwritten Official Documents Using Fully Convolutional Networks This paper proposes a character segmentation method using a fully convolutional network (FCN) and a postprocessing phase. The network is trained with fivechannel images that indicate five kinds of zones within the bounding box for each characterxe2x80x94the top half, bottom half, left half, right half, and center. The postprocessing step reconstructs the bounding boxes for characters from the fivechannel image of the FCN output. The proposed method possesses the following advantages: (1) It is possible to process input images including multiple text lines directly; in other words, a text line segmentation process is unnecessary. (2) It does not rely upon character recognition. (3) It is robust to variations in the sizes of characters and the gaps between characters and also to cursive characters or character overlap. In the experiment of character segmentation, the accuracy ratio was 95% for real images of historical handwritten official documents written in Japanese.