On combining local DCT with preprocessing sequence for face recognition under varying lighting conditions

Authors:
Heydi Méndez-Vázquez;Josef Kittler;Chi-Ho Chan;Edel García-Reyes
Affiliations:
Advanced Technologies Application Center, Havana, Cuba;Center for Vision, Speech and Signal Processing, Guildford, Surrey, UK;Center for Vision, Speech and Signal Processing, Guildford, Surrey, UK;Advanced Technologies Application Center, Havana, Cuba
Venue:
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Year:
2010

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Abstract

Face recognition under varying lighting conditions remains an unsolved problem. In this work, a new photometric normalisation method based on local Discrete Cosine Transform in the logarithmic domain is proposed. The method is experimentally evaluated and compared with other algorithms, achieving a very good performance with a total error rate very similar to that produced by the preprocessing sequence, which is the best performing state of the art photometric normalisation algorithm. An in-depth analysis of both methods revealed notable differences in their behaviour. This diversity is exploited in a multiple classifier fusion framework to achieve further performance improvement.