Haar-like Rectangular Features for Biometric Recognition

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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 languageEnglish
Title of host publicationInternational Conference on Biometrics
PublisherIEEE
Publication date4 Jun 2013
ISBN (Print)978-1-4799-0310-8
DOIs
Publication statusPublished - 4 Jun 2013
EventInternational Conference on Biometrics - Madrid, Spain
Duration: 4 Jun 20138 Jun 2013

Conference

ConferenceInternational Conference on Biometrics
CountrySpain
CityMadrid
Period04/06/201308/06/2013

Fingerprint

Biometrics
Classifiers
Degradation

Keywords

  • Haar-like rectangular features

Cite this

Nasrollahi, Kamal ; Moeslund, Thomas B. ; Rashidi, Maryam. / Haar-like Rectangular Features for Biometric Recognition. International Conference on Biometrics. IEEE, 2013.
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Nasrollahi, K, Moeslund, TB & Rashidi, M 2013, Haar-like Rectangular Features for Biometric Recognition. in International Conference on Biometrics. IEEE, International Conference on Biometrics, Madrid, Spain, 04/06/2013. https://doi.org/10.1109/ICB.2013.6612952

Haar-like Rectangular Features for Biometric Recognition. / Nasrollahi, Kamal; Moeslund, Thomas B.; Rashidi, Maryam.

International Conference on Biometrics. IEEE, 2013.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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N2 - 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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