CHAIN CODE AND HOLISTIC FEATURES BASED OCR SYSTEM FOR PRINTED DEVANAGARI SCRIPT USING ANN AND SVM

Optical Character Recognition Systems are getting more and more attention in recent decade. In many countries, OCR has been a part of their government sectors like post offices, Library automation, License Plate Recognition, Defence organization etc. According to recent survey, there are at least 550 million people are using Devanagari script for communication. Hindi is one of the language, which is derived from Devanagari script. For any character recognition system, essential step is to identify individual character and find features to compare it with the template features. In this paper, we have proposed histogram based hierarchical approach for isolating individual character from the image document. We have used Principle Component Analysis and Fisher Discriminant Analysis kind of holistic features for recognition. We have done the comparisons of such holistic features with geometric features like binary features and chain code.