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Old Age
Fingerprint Liveness Detection Based on Quality Measures
July 11, 2022 Β· Declared Dead Β· π 2009 First IEEE International Conference on Biometrics, Identity and Security (BIdS)
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Authors
Javier Galbally, Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia
arXiv ID
2207.04809
Category
cs.CV: Computer Vision
Cross-listed
cs.CR,
eess.IV
Citations
36
Venue
2009 First IEEE International Conference on Biometrics, Identity and Security (BIdS)
Last Checked
6 months ago
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.
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