Haar-like Rectangular Features for Biometric Recognition

Publikation: Forskning - peer reviewKonferenceartikel i proceeding

Abstrakt

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.
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Detaljer

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.
OriginalsprogEngelsk
TitelInternational Conference on Biometrics
ForlagIEEE
Publikationsdato4 jun. 2013
ISBN (Trykt)978-1-4799-0310-8
DOI
StatusUdgivet - 4 jun. 2013
PublikationsartForskning
Peer reviewJa
BegivenhedInternational Conference on Biometrics - Madrid, Spanien
Varighed: 4 jun. 20138 jun. 2013

Konference

KonferenceInternational Conference on Biometrics
LandSpanien
ByMadrid
Periode04/06/201308/06/2013

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