Polynomial features for robust face authentication
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Taliwal, KK
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A. Reibman and K. Knox
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Abstract
We introduce the DCT-mod2 facial feature extraction technique which utilizes polynomial coefficients derived from 2D DCT coefficients of spatially neighbouring blocks. We evaluate its robustness and performance against three popular feature sets for use in an identity verification system subject to illumination changes. Results on the multi-session VidTIMIT database suggest that the proposed feature set is the most robust, followed by (in order of robustness and performance): 2D Gabor wavelets; 2D DCT coefficients; PCA (eigenface) derived features. Moreover, compared to Gabor wavelets, the DCT-mod2 feature set is over 80 times quicker to compute.
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2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS
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3
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© 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.