Biometric verification of humans by means of hand geometry

04/16/2022

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by   Marcos Faundez-Zanuy, et al.

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10

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This paper describes a hand geometry biometric identification system. We have acquired a database of 22 people, 10 acquisitions per person, using a conventional document scanner. We propose a feature extraction and classifier. The experimental results reveal a maximum identification rate equal to 93.64 and a minimum value of the detection cost function equal to 2.92 layer perceptron classifier.