The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 32-536
Full Name: Pervez Ahmed
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Computer Science, King Saud University
Country: SAUDI ARABIA
Tel: 001-966-1-415-2446
Tel prefix:
Fax: 001-966-1-467-5423
E-mail address: shamapervez@gmail.com
Other E-mails: shamapervez@hotmail.com
Title of the Paper: TAR based shape features in unconstrained handwritten digit recognition
Authors as they appear in the Paper: P. Ahmed and Yousef Al Ohali
Email addresses of all the authors: shamapervez@gmail.com, yousef@ccis.edu.sa
Number of paper pages: 16
Abstract: In this research, the recognition accuracy of triangle-area representation (TAR) based shape feature is measured in recognizing the totally unconstrained handwritten digits. The TAR features for different triangles of variable side lengths that are formed by taking the combinations of different contour points were computed. The set of contour points that yielded the best features was experimentally discovered. For classification a curve matching technique is used. Several experiments were conducted on real-life sample data that was collected from postal zip codes written by mail writers. The highest recognition result of 98.5 % was achieved on the training data set and 98.3% on the test data set.
Keywords: Triangle area representation, Shape descriptors, Digit recognition, Contour points, and zip codes
EXTENSION of the file: .doc
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