Title :
Artificial immune system for handwritten Arabic word recognition
Author :
Nemmour, Hassiba ; Chibani, Youcef
Author_Institution :
Signal Process. Lab., Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria
Abstract :
In this paper, a handwritten Arabic word recognition system is proposed. Specifically, the use of Artificial immune recognition system to recognize Arabic script in a medium vocabulary, is investigated. Relevant features are obtained using the Ridgelet transform. Experiments are conducted on samples extracted from the well-known IFN/ENIT dataset which contains names of Tunisian towns. The performance evaluation is carried out comparatively to SVM classifiers. Recognition rate highlight the efficiency of the AIRS classifier.
Keywords :
artificial immune systems; handwriting recognition; natural language processing; pattern classification; support vector machines; transforms; AIRS classifier; Arabic script recognition; IFN/ENIT dataset; Ridgelet transform; SVM classifiers; Tunisian towns; artificial immune recognition system; handwritten Arabic word recognition system; medium vocabulary; performance evaluation; Character recognition; Handwriting recognition; Immune system; Support vector machines; Training; Transforms; AIRS; Handwritten Arabic words; SVMs;
Conference_Titel :
Innovative Computing Technology (INTECH), 2013 Third International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-0047-3
DOI :
10.1109/INTECH.2013.6653674
