Features for robust face-based identity verification

Authors:
Conrad Sanderson;Kuldip K. Paliwal
Affiliations:
School of Microelectronic Engineering, Griffith University, Brisbane, Queensland 4111, Australia;School of Microelectronic Engineering, Griffith University, Brisbane, Queensland 4111, Australia
Venue:
Signal Processing
Year:
2003

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Abstract

In this paper we propose the discrete cosine transform (DCT) mod 2 feature set, which utilizes polynomial coefficients derived from 2D DCT coefficients obtained from spatially neighboring blocks. Face verification results en the multisession VidTIMIT database suggest that the DCT-mod 2 feature set is superior (in terms of robustness to illumination direction changes and discrimination ability) to features extracted using three popular methods: eigenfaces principal component analysis, 2D DCT and 2D Gabor wavelets. Moreover, compared to Gabor wavelets, the DCT-mod 2 feature set is over 80 times faster to compute. Additional experiments on the Weizmann database also show that the DCT-mod 2 approach is more robust than 2D Gabor wavelets and 2D DCT coefficients.