A survey on feature extraction and classification techniques for character recognition of Indian scripts

Much research has been done by many researchers on Optical Character Recognition system. But most of the work done is on Greek, Chinese, English and Japanese characters. There has not been adequate work on character recognition of Indian languages like Bangla, Marathi, Malayalam, Telugu, Gujarati, Kannada, Gurmukhi and Oriya. The development of handwritten character recognition (HCR) is an interesting area in pattern recognition. In HCR, the set of features are very important in selecting the appropriate feature that produces little classification error. In this paper, we have presented a survey on feature extraction and classification techniques used for character recognition of Indian scripts.