Abstract
Developing a reliable, fast, and robust biometric recognition system is still a challenging task. This is because the inputs to these systems can be noisy, occluded, poorly illuminated, rotated, and of very low-resolutions. This paper proposes a probabilistic classifier using Haar-like features, which mostly have been used for detection, for biometric recognition. The proposed system has been tested for three different biometrics: ear, iris, and hand vein patterns and it is shown that it is robust against most of the mentioned degradations and it outperforms state-of-the-art systems. The proposed system has been tested using three public databases.
Originalsprog | Engelsk |
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Titel | International Conference on Biometrics |
Forlag | IEEE |
Publikationsdato | 4 jun. 2013 |
ISBN (Trykt) | 978-1-4799-0310-8 |
DOI | |
Status | Udgivet - 4 jun. 2013 |
Begivenhed | International Conference on Biometrics - Madrid, Spanien Varighed: 4 jun. 2013 → 8 jun. 2013 |
Konference
Konference | International Conference on Biometrics |
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Land/Område | Spanien |
By | Madrid |
Periode | 04/06/2013 → 08/06/2013 |