Biometric identification based on novel frequency domain facial asymmetry measures

Sinjini Mitra; Marios Savvides; B. V. K. Vijaya Kumar

doi:10.1117/12.604186

28 March 2005 Biometric identification based on novel frequency domain facial asymmetry measures

Sinjini Mitra, Marios Savvides, B. V. K. Vijaya Kumar

Author Affiliations +

Proceedings Volume 5779, Biometric Technology for Human Identification II; (2005) https://doi.org/10.1117/12.604186
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

In the modern world, the ever-growing need to ensure a system's security has spurred the growth of the newly emerging technology of biometric identification. The present paper introduces a novel set of facial biometrics based on quantified facial asymmetry measures in the frequency domain. In particular, we show that these biometrics work well for face images showing expression variations and have the potential to do so in presence of illumination variations as well. A comparison of the recognition rates with those obtained from spatial domain asymmetry measures based on raw intensity values suggests that the frequency domain representation is more robust to intra-personal distortions and is a novel approach for performing biometric identification. In addition, some feature analysis based on statistical methods comparing the asymmetry measures across different individuals and across different expressions is presented.

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Sinjini Mitra, Marios Savvides, and B. V. K. Vijaya Kumar "Biometric identification based on novel frequency domain facial asymmetry measures", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.604186

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