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

fYear

2013

fDate

29-31 Aug. 2013

Firstpage

463

Lastpage

466

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing Technology (INTECH), 2013 Third International Conference on

Conference_Location

London

Print_ISBN

978-1-4799-0047-3

Type

conf

DOI

10.1109/INTECH.2013.6653674

Filename

6653674