Biometric verification of humans by means of hand geometry
arXiv:2204.07764 · doi:10.1109/CCST.2005.1594816
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.
8 pages, published in Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology ICCST2005 Las Palmas, Spain. arXiv admin note: substantial text overlap with arXiv:2204.03925