Human-perception handwritten character recognition using wavelets

Abstract

The human vision system effortlessly recognizes familiar shapes despite changes and distortions found in retinal images. This work proposes a novel approach for recognition of handwritten characters based on human perception. The wavelet transform is used to simulate the multiresolutional capability of vision and to extract features such as fixation points and image details in horizontal, vertical and diagonal directions. A previous system which uses wavelet directional features yielded a recognition rate of 98.25% using the NIST numerals database.