International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 24 - Number 1 |
Year of Publication: 2011 |
Authors: Ouafae EL Melhaoui, Mohamed El Hitmy, Fairouz Lekhal |
10.5120/2912-3830 |
Ouafae EL Melhaoui, Mohamed El Hitmy, Fairouz Lekhal . Arabic Numerals Recognition based on an Improved Version of the Loci Characteristic. International Journal of Computer Applications. 24, 1 ( June 2011), 36-41. DOI=10.5120/2912-3830
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.