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.
Original language | English |
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Title of host publication | International Conference on Biometrics |
Publisher | IEEE |
Publication date | 4 Jun 2013 |
ISBN (Print) | 978-1-4799-0310-8 |
DOIs | |
Publication status | Published - 4 Jun 2013 |
Event | International Conference on Biometrics - Madrid, Spain Duration: 4 Jun 2013 → 8 Jun 2013 |
Conference
Conference | International Conference on Biometrics |
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Country/Territory | Spain |
City | Madrid |
Period | 04/06/2013 → 08/06/2013 |
Keywords
- Haar-like rectangular features