Hand-Written Indian Numerals Recognition System Using Template Matching Approaches

Authors:
Faruq Al-Omari
Affiliations:
-
Venue:
AICCSA '01 Proceedings of the ACS/IEEE International Conference on Computer Systems and Applications
Year:
2001

Citing 0
Cited 3

Recognition of writer-independent off-line handwritten Arabic (Indian) numerals using hidden Markov models

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A multiple feature/resolution scheme to Arabic (Indian) numerals recognition using hidden Markov models

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The use of radon transform in handwritten Arabic (Indian) numerals recognition

WSEAS Transactions on Computers

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Abstract

Abstract: A recognition system for identifying hand-written Indian (Arabic) numerals for one to nine (9_1) has been developed. A graphical user interface was developed using advanced object oriented techniques that incorporates Matlab as a technical tool. The process involved extracting a feature vector to represent the handwritten sketch based on the "object" centroid and boundary points. A template vector was derived for each digit by taking the average feature vector of 30 different students. The test sketch is compared against all nine templates and a distance measure is performed to make the recognition. An overall hit ratio of 87.22% was achieved in the preliminary results. The ratio reached 100% for some of the digits. But there was misinterpretation between similar digits like (7) and (9). This study is meant to be a seed toward building a recognition system for Arabic language characters.