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Title: Integrating shape and texture for hand verification
Authors: Pathak, AK
Zhang, DD 
Issue Date: 2004
Source: Proceedings of the third International Conference on Image and Graphics : Hong Kong, China, 18-20 December 2004, p. 222-225
Abstract: This paper investigates the performance of a bimodal biometric system using fusion of shape and texture. We propose several new hand-shape features that can be used to represent the hand shape and improve the performance for hand-shape based user authentication. We also demonstrate the usefulness of Discrete Cosine Transform (DCT) coefficients for palmprint authentication. The score level fusion of hand shape and palmprint features using product rule achieves best performance as compared to Max or Sum rule. The two hand shapes of an individual are anatomically similar. However, the palmprint information from the two hands can be combined to further improve performance and is investigated in this paper. Our experimental results on the database of 100 users achieve promising results and therefore confirm the usefulness of proposed method.
Keywords: Computational geometry
Computer vision
Cosine transforms
Feature extraction
Image analysis
Image enhancement
Image retrieval
Publisher: IEEE Computer Society
ISBN: 0-7695-2244-0
Rights: © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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