Design and Implementation of OCR to identify English Characters and Numbers
Rachit Adhvaryu, Rachana Parikh, Komil Vora · Zenodo (CERN European Organization for Nuclear Research) · 2018
Optical character recognition has become one of the most successful applications of technology in the field of pattern recognition and artificial intelligence. At present, there is great demand of such softwares which can identify the characters from scanned documents or images. Optical Character Recognition deals with the problem of recognizing optically processed characters. Optical recognition is performed off-line after the writing or printing has been completed, as opposed to on-line recognition where the computer recognizes the characters as they are drawn. This paper presents the system which identifies characters from the images. The objective of this system prototype are to develop a prototype for the Optical Character Recognition (OCR) system and to implement the Template Matching algorithm in developing the system prototype.