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

Keywords

  • Haar-like rectangular features

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