The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 32-173
Full Name: Rerkchai Fooprateepsiri
Position: Assistant Professor
Age: ON
Sex: Male
Address: 51 Cheusampan rd., Nongchok, bangkok
Country: THAILAND
Tel: +6629883666
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E-mail address: rerkchai@mut.ac.th
Other E-mails: king_arter@hotmail.com
Title of the Paper: A Hybrid Method for Face Recognition Systems
Authors as they appear in the Paper: Rerkchai Fooprateepsiri, Werasak Kurutach
Email addresses of all the authors: rerkchai@mut.ac.th, king_arter@hotmail.com
Number of paper pages: 10
Abstract: This paper proposes a highly robust method for face recognition and authentication. Techniques introduced in this work are composed of two stages. First, the feature of face is to be detected by the combined of Trace Transform and Fast Active Contour. Then, in the second stage, the Hausdorff distance and Modified Shape Context are employed to measure and determine of similarity between models and test images. Our system is evaluated with experiments on the AR, ORL and Yale face database using 1,126 face images. From experimental result, it is show that the average of accuracy rate is higher than 84%.
Keywords: Face Recognition, Trace Transform, Hausdorff distance, Modified Shape context, Active Contour.
EXTENSION of the file: .pdf
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