A Survey on Feature Extraction Techniques for Handwritten Character Recognition

Abstract

The efficiency and accuracy of the optical character recognition system is very much dependent on the appropriate choice of the feature extraction techniques used. In the field of pattern recognition hand written character recognition is an interesting field of research. If the features calculated or observed for a character are enough and complete to specify it then classification errors can be minimized. So feature extraction plays a vital role in the handwritten character recognition. This paper describes about the different techniques of feature extraction.