WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 11, 2012
Hand Written English Character Recognition Using Column-wise Segmentation of Image Matrix (CSIM)
Authors: ,
Abstract: Research is going on to develop both hardware and software to recognize handwritten characters easily and accurately. Artificial Neural Network (ANN) is a very efficient method for recognizing handwritten characters. Attempts have already been made to recognize English alphabets using similar type of methods. A new method has been tried, in this paper, to improve the performance of the previously applied methods. The input image matrix is compressed into a lower dimension matrix in order to reduce non significant elements of the image matrix. The compressed matrix is segmented column-wise. Each column of a particular image matrix is mapped to identical patterns for recognizing a particular character. Majority of a known pattern decides the existence of a particular character.