Title :
Human-perception handwritten character recognition using wavelets
Author :
Correia, Suzete E N ; De Carvalho, João M. ; Sabourin, Robert
Author_Institution :
Univ. Fed. da Paraiba, Brazil
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.
Keywords :
feature extraction; handwritten character recognition; visual perception; wavelet transforms; feature extraction; fixation points; human perception based handwritten character recognition; human vision system; image details; multiresolutional capability; wavelets; Character recognition; Feature extraction; Handwriting recognition; Humans; Image recognition; Image resolution; Machine vision; Retina; Shape; Wavelet transforms;
Conference_Titel :
Computer Graphics and Image Processing, 2002. Proceedings. XV Brazilian Symposium on
Print_ISBN :
0-7695-1846-X
DOI :
10.1109/SIBGRA.2002.1167176