Use The Positive Selection Algorithm and The Negative Selection Algorithm in The English Character Recognition

Hassan, Maha A.M.; Fattah, Noura Abdel; Najam, Maha H.; Shiban, Nour S.

doi:10.33899/edusj.1970.163331

	Use The Positive Selection Algorithm and The Negative Selection Algorithm in The English Character Recognition
Journal of Education and Science
Article 10, Volume 28, Issue 4, 2019, Pages 129-141 PDF (444.09 K)
DOI: 10.33899/edusj.1970.163331
Authors
Maha A.M. Hassan; Noura Abdel Fattah; Maha H. Najam; Nour S. Shiban
Abstract
In this paper, I use some artificial intelligence techniques algorithms, which are the algorithms of the artificial immune system (positive selection algorithm and negative selection algorithm). Through these two algorithms, it is distinguished between the original and distorted English letters. Through the results of the patterns, which were obtained after the implementation of these two algorithms, I observed that the percentage of discrimination was 85% for the positive selection algorithm, and 80% for the negative selection algorithm. This discrimination was applied after the images had been divided into blocks, and then the properties of the images had been extracted by adopting the method of seven undependable momentums in order to gain patterns which are close to the original pattern of the introduced English letter.
Keywords
Artificial immune system (AIS); feature extraction; positive selection algorithm and negative selection algorithm

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