“Comparative Study of Feature Extraction and Classification Techniques for Handwritten Devanagari Script”

Abstract: The Indian Government has recognized Hindi and English both as official languages, under the VIII scheduled, along with 22 languages. Most of the optical character recognition research work has been done on Devanagari, Telgu, Arabic, and Bangla script. The selection of feature extraction and classification technique is the important to achieve the best accuracy of any recognition system. Features collect the data about the character and accordingly classifier classify the character uniquely. This paper, deals with the studied of the Feature Extraction and Classification techniques for the handwritten Devanagari script.

Keywords: OCR, Feature Extraction, segmentation and Classification techniques.