Handwritten Arabic (Indian) Numerals Recognition Using Fourier Descriptor and Structure Base Classifier | Zendy

Shatha M. Noor | Zendy; Ihab A. Mohammed | Zendy; Loay E. George | Zendy

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Handwritten Arabic (Indian) Numerals Recognition Using Fourier Descriptor and Structure Base Classifier

Author(s) -

Shatha M. Noor,

Ihab A. Mohammed,

Loay E. George

Publication year - 2011

Publication title -

journal of al-nahrain university-science

Language(s) - English

Resource type - Journals

eISSN - 2519-0881

pISSN - 1814-5922

DOI - 10.22401/jnus.14.2.28

Subject(s) - pattern recognition (psychology) , artificial intelligence , classifier (uml) , computer science , fourier transform , numeral system , arabic , arabic numerals , test set , feature extraction , speech recognition , mathematics , mathematical analysis , linguistics , philosophy

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 %89.6 when 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.

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