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Biometric verification of humans by means of hand geometry (2204.07764v1)

Published 16 Apr 2022 in cs.CV and cs.CR

Abstract: 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% using a multi layer perceptron classifier.

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