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Illumination-invariant ear authentication


Citation

Jamil, Nursuriati and Almisreb, Ali and Abdul Halin, Alfian (2014) Illumination-invariant ear authentication. Procedia Computer Science, 42. pp. 271-278. ISSN 1877-0509

Abstract

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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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1016/j.procs.2014.11.062
Publisher: Elsevier
Keywords: Biased-normalized cuts; Ear biometric; Ear authentication; Illumination-invariant
Depositing User: Nabilah Mustapa
Date Deposited: 29 Dec 2015 11:02
Last Modified: 29 Dec 2015 11:02
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.procs.2014.11.062
URI: http://psasir.upm.edu.my/id/eprint/37929
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