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In this paper, the authors propose an identity verification method based on hand geometry and palmprint features. First, the hand geometry features are extracted. Then a region on the palm is selected and palmprint features are extracted. Extracted features would be matched independently with the stored patterns in database. Finally, The calculated scores are fused together by weighted sum rule. Also a genetic algorithm is applied to search appropriate weights. Simulation results conducted on their collected database show that the system achieves excellent performance in terms of totally success rate of 98.61%.
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