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Proceedings Paper

Ear authentication using Log-Gabor wavelets
Author(s): Ajay Kumar; David Zhang
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Paper Abstract

This paper investigates a new approach for human ear identification using holistic grey-level information. We employ Log-Gabor wavelets to extract the phase information, i.e. ear-codes, from the 1D gray-level signals. Thus each ear is represented by a unique ear code or (phase template). The query ear images are compared with those in the database using Hamming distance. The minimum Hamming distance obtained from the rotation of ear template is used to authenticate the user. Our experiments on two different public ear databases achieve promising results and suggest its utility in ear-based authentication. This paper also illustrates that the phase information extracted from ear images can achieve significant performance improvement as compared to appearance-based approach employed in the literature.

Paper Details

Date Published: 12 April 2007
PDF: 5 pages
Proc. SPIE 6539, Biometric Technology for Human Identification IV, 65390A (12 April 2007); doi: 10.1117/12.720244
Show Author Affiliations
Ajay Kumar, The Hong Kong Polytechnic Univ. (Hong Kong China)
Indian Institute of Technology Delhi (India)
David Zhang, The Hong Kong Polytechnic Univ. (Hong Kong China)

Published in SPIE Proceedings Vol. 6539:
Biometric Technology for Human Identification IV
Salil Prabhakar; Arun A. Ross, Editor(s)

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