Published Paper Details:

This paper, OCR is to develop OCR software for online/offline handwriting recognition. OCR is an Optical Character acknowledgment and is the mechanical or electronic interpretation of pictures of manually written or typewritten content (more often than not caught by a scanner) into machine-editable content.OCR is a field of research in example acknowledgment, computerized reasoning and machine vision. Handwritten recognition is used most often to describe the ability of a computer to translate human writing into text. This may take in one of the two ways, either by scanning of written text or by writing directly on peripheral input devices. Now they are going to implement the software which will recognize the characters from online or offline document (in image format) and use it as individual user profile. Here they are creating OCR which will perceive manually written English characters. This system can be used by multiple users. They can do this by improving our software for recognizing the handwriting of more than one user. Likewise in the event that they can take the stroke data and offer it to our framework, at that point it will be conceivable to perceive even cursive content moreover. The recognized characters are stored in the text file. They can add words to the sound files and invoke them through the program, so that the recognized words can be read aloud. Therefore they can make the PC read the manually written report.