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Biometric verification of humans by means of hand geometry

arXiv 2204.07764 ↗First posted 16 Apr 2022cs.CV cs.CRcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 21 references that are in the map. First posted on arXiv 16 Apr 2022.

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References · 6

  1. 2022Privacy issues on biometric systemscited by 7
  2. 2022Technological evaluation of two AFIS systemscited by 5
  3. 2022Biometric recognition: why not massively adopted yet?cited by 5
  4. 2022Testing report of a fingerprint-based door-opening systemcited by 4
  5. 2022Biometric identification by means of hand geometry and a neural net classifiercited by 1
  6. 2022Study of a committee of neural networks for biometric hand-geometry recognitioncited by 1

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