Marksheet Recognition Methodology-Correlation

Abstract

Now-a-days OCR becoming very popular research in image processing. Character recognition techniques associate a symbolic identity with the image of character. We are developing a system for retrieving information from scanned copy of marksheet which is later stored on a database. In a typical OCR systems input characters are digitized by an optical scanner. Each character is then situated and metameric and also the ensuing character image is fed into a pre-processor for noise reduction. Options square measure the extracted from the character for classification. The feature extraction is tough and plenty of totally different techniques exist. When classification the extracted characters square measure sorted to reconstruct the first image. Here, we have a tendency to square measure mistreatment OCR's correlation rule.