Ear authentication using Log-Gabor wavelets

Ajay Kumar; David Zhang

doi:10.1117/12.720244

12 April 2007 Ear authentication using Log-Gabor wavelets

Ajay Kumar, David Zhang

Proceedings Volume 6539, Biometric Technology for Human Identification IV; 65390A (2007) https://doi.org/10.1117/12.720244
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Ajay Kumar and David Zhang "Ear authentication using Log-Gabor wavelets", Proc. SPIE 6539, Biometric Technology for Human Identification IV, 65390A (12 April 2007); https://doi.org/10.1117/12.720244

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