General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2010 Vol.2(1): 119-124 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.126

Fuzzy Logic Approach to Recognition of Isolated Arabic Characters

Majida Ali Abed, Hamid Ali Abed AL-Asadi, Zainab sabah Baha Al-Deen, Ahmad Naser Ismail

Abstract—In In recent years, fuzzy logic has been increasingly used to improve conventional methods especially in pattern recognition fields. This research present proposed system to recognize isolated Arabic characters, using a approach of fuzzy logic. The proposed system does not requires segmentation of the Arabic words or Arabic texts to characters but entered three different shape for every isolated Arabic character saved in many templates, after then applied laws and stages of fuzzy logic, save the results in different files, enter four shape for the character we wanted to recognize different from the three shapes were saved then compare the results recognition with the saved results of characters ,we used for testing the characters ( Alif, Baa, Geam, Dal, Raa, Seen, Dhad, T'ta, Ain, Faa, Kaf, Lam, Mem, Haa, Waw, Yaa).Recognition results shown at many figures in the paragraph the experimental results for two different shapes Arabic isolated characters(Ain, Faa). The proposed system was tested on 96 different shape of characters and a 88% recognition success rate was obtained. The proposed system has been implemented and tested on Matlab R2008b environment.

Index Terms—Pattern Recognition, Fuzzy Logic (FL), Isolated Arabic Recognition (IAC), Template Comparison.

[PDF]

Cite: Majida Ali Abed, Hamid Ali Abed AL-Asadi, Zainab sabah Baha Al-Deen, Ahmad Naser Ismail, "Fuzzy Logic Approach to Recognition of Isolated Arabic Characters," International Journal of Computer Theory and Engineering vol. 2, no. 1, pp. 119-124, 2010.


Copyright © 2008-2024. International Association of Computer Science and Information Technology. All rights reserved.