[2207.04809] Fingerprint Liveness Detection Based on Quality Measures
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Computer Science > Computer Vision and Pattern Recognition

arXiv:2207.04809 (cs)
[Submitted on 11 Jul 2022]

Title:Fingerprint Liveness Detection Based on Quality Measures

Authors:Javier Galbally, Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia
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Abstract:A new fingerprint parameterization for liveness detection based on quality measures is presented. The novel feature set is used in a complete liveness detection system and tested on the development set of the LivDET competition, comprising over 4,500 real and fake images acquired with three different optical sensors. The proposed solution proves to be robust to the multi-sensor scenario, and presents an overall rate of 93% of correctly classified samples. Furthermore, the liveness detection method presented has the added advantage over previously studied techniques of needing just one image from a finger to decide whether it is real or fake.
Comments: Published at IEEE International Conference on Biometrics, Identity and Security (BIdS). arXiv admin note: substantial text overlap with arXiv:2111.01898
Subjects: Computer Vision and Pattern Recognition (cs.CV); Cryptography and Security (cs.CR); Image and Video Processing (eess.IV)
Cite as: arXiv:2207.04809 [cs.CV]
  (or arXiv:2207.04809v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2207.04809

Submission history

From: Fernando Alonso-Fernandez [view email]
[v1] Mon, 11 Jul 2022 12:15:27 UTC (902 KB)
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