New Approach of Feature Extraction Method Based on the Raw form and his Skeleton for Gujarati Handwritten Digits Using Neural Networks Classifier
El Yachi, Rachid
El Kessab, Bader Dinne
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This paper presents an optical character recognition (OCR) system for Gujarati handwritten digits. One may find so much of work for latin writing, arabic, chines, etc. but Gujarati is a language for which hardly any work is traceable especially for handwritten characters. Here in this work we have proposed a method of feature extraction based on the raw form of the character and his skeleton and we have shown the advantage of using this method over other approaches mentioned in this article.