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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.

On Combining Local DCT with Preprocessing Sequence for Face Recognition under Varying Lighting Conditions