Abstract
The present work is concerned with handwritten and printed numeral recognition based on an improved version of the loci characteristic method (CL) for extracting the numeral features. After a preprocessing of the numeral image, the method divides the image into four equal parts and applies the traditional CL to each of the parts. The recognition rate obtained by this method is improved indicating that the numeral features extracted contain more details. Numeral recognition is carried out in this work through k nearest neighbors and multilayer perceptron techniques.
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