Illumination-invariant ear authentication

Ear biometric research can be traced back as early as 1949. Off late, more work of ear biometrics has been done mainly focusing within constrained environment. Illumination invariant problem in unconstrained environment remains less explored for ear biometric. In this paper, we propose an illuminati...

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Main Authors: Jamil, Nursuriati, Almisreb, Ali, Abdul Halin, Alfian
Format: Article
Language:English
Published: Elsevier 2014
Online Access:http://psasir.upm.edu.my/id/eprint/37929/
http://psasir.upm.edu.my/id/eprint/37929/1/37929.pdf
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author Jamil, Nursuriati
Almisreb, Ali
Abdul Halin, Alfian
author_facet Jamil, Nursuriati
Almisreb, Ali
Abdul Halin, Alfian
author_sort Jamil, Nursuriati
building UPM Institutional Repository
collection Online Access
description Ear biometric research can be traced back as early as 1949. Off late, more work of ear biometrics has been done mainly focusing within constrained environment. Illumination invariant problem in unconstrained environment remains less explored for ear biometric. In this paper, we propose an illumination-invariant ear authentication approach using biometric authentication methods. Ear regions are firstly segmented from side face images using biased normalized cuts and morphological operations. Shape features are then extracted using Log-Gabor filters where the Hamming distance is finally applied for authentication. A authentication rate of 92.66% is reported for intra-class matching on 50 subjects.
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spelling upm-379292015-12-29T11:02:23Z http://psasir.upm.edu.my/id/eprint/37929/ Illumination-invariant ear authentication Jamil, Nursuriati Almisreb, Ali Abdul Halin, Alfian Ear biometric research can be traced back as early as 1949. Off late, more work of ear biometrics has been done mainly focusing within constrained environment. Illumination invariant problem in unconstrained environment remains less explored for ear biometric. In this paper, we propose an illumination-invariant ear authentication approach using biometric authentication methods. Ear regions are firstly segmented from side face images using biased normalized cuts and morphological operations. Shape features are then extracted using Log-Gabor filters where the Hamming distance is finally applied for authentication. A authentication rate of 92.66% is reported for intra-class matching on 50 subjects. Elsevier 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37929/1/37929.pdf Jamil, Nursuriati and Almisreb, Ali and Abdul Halin, Alfian (2014) Illumination-invariant ear authentication. Procedia Computer Science, 42. pp. 271-278. ISSN 1877-0509 http://www.sciencedirect.com/science/article/pii/S1877050914015002 10.1016/j.procs.2014.11.062
spellingShingle Jamil, Nursuriati
Almisreb, Ali
Abdul Halin, Alfian
Illumination-invariant ear authentication
title Illumination-invariant ear authentication
title_full Illumination-invariant ear authentication
title_fullStr Illumination-invariant ear authentication
title_full_unstemmed Illumination-invariant ear authentication
title_short Illumination-invariant ear authentication
title_sort illumination-invariant ear authentication
url http://psasir.upm.edu.my/id/eprint/37929/
http://psasir.upm.edu.my/id/eprint/37929/
http://psasir.upm.edu.my/id/eprint/37929/
http://psasir.upm.edu.my/id/eprint/37929/1/37929.pdf