Face recognition using DCT-based feature vectors

Authors:
C. Podilchuk;Xiaoyu Zhang
Affiliations:
Signal Process. Res. Dept., AT&TBell Labs., Murray Hill, NJ, USA;-
Venue:
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Year:
1996

Citing 0
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Abstract

Face recognition has many applications ranging from security access to video indexing by content. We describe an automatic face recognition system which is VQ-based and examine the effects of feature selection, feature dimensionality and codebook size on recognition performance in the VQ framework. In particular, we examine DCT-based feature vectors in such a system. DCT-based feature vectors have the additional appeal that the recognition can be performed directly on the bitstream of compressed images which are DCT-based. The system described consists of three parts: a preprocessing step to segment the face, the feature selection process and the classification. Recognition rates for a database of 500 images shows promising results.