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.
For Arabic handwritten and printed digit recognition, another new system using the characteristics loci (CL) is presented by REF for extracting features of digit, the recognition is carried out through KNN and MLP techniques.
Arabic Numerals Recognition based on an Improved Version of the Loci Characteristic
International Journal of Computer Applications
Computer Science