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- WENXIN LI
- Biometrics Research Centre, Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
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- DAVID ZHANG
- Biometrics Research Centre, Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
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- ZHUOQUN XU
- Biometrics Research Centre, Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
抄録
<jats:p> Palmprint identification refers to searching in a database for the palmprint template, which is from the same palm as a given palmprint input. The identification process involves preprocessing, feature extraction, feature matching and decision-making. As a key step in the process, in this paper, we propose a new feature extraction method by converting a palmprint image from a spatial domain to a frequency domain using Fourier Transform. The features extracted in the frequency domain are used as indexes to the palmprint templates in the database and the searching process for the best match is conducted by a layered fashion. The experimental results show that palmprint identification based on feature extraction in the frequency domain is effective in terms of accuracy and efficiency. </jats:p>
収録刊行物
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- International Journal of Pattern Recognition and Artificial Intelligence
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International Journal of Pattern Recognition and Artificial Intelligence 16 (04), 417-432, 2002-06
World Scientific Pub Co Pte Lt