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

Keywords: Pre-processing , Segmentation , Histogram , Neural Network , Support Vector Machine

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Abstract:

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

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