Title of article :
Handwritten Arabic (Indian) Numerals Recognition Using Fourier Descriptor and Structure Base Classifier
Author/Authors :
Noor, Shatha M. University of Al-Nahrain - College of Science - Department of Computer Science, Iraq , Mohammed, Ihab A. University of Al-Nahrain - College of Science - Department of Computer Science, Iraq , George, Loay E. University of Baghdad - College of Science - Department of Computer Science, Iraq
Abstract :
In this paper a simple and accurate method is proposed to recognize Arabic (Indian) numerals using Fourier descriptors as the main classifier feature set, and to improve the recognition accuracy a simple structure based classifier is add as a supplementary classifier. The recognition system was tested on 450 samples collected from 5 students and the test results indicate that the recognition ratio is%89.6when only 5 Fourier descriptors are used as discriminating features set, and the ratio is raised to%98 when 4 Fourier descriptors are used in addition to the simple structure based classifier
Keywords :
Digit Recognition , Binarization , Thinning , Segmentation , Edge Connection , Chain Codes , Fourier Descriptor , Structured Classifier
Journal title :
Al-Nahrain Journal Of Science
Journal title :
Al-Nahrain Journal Of Science
