Journal
INTERNATIONAL JOURNAL OF COMPUTER VISION
Volume 43, Issue 3, Pages 167-188Publisher
SPRINGER
DOI: 10.1023/A:1011183429707
Keywords
face recognition; discrete cosine transform; Karhunen-Loeve transform; geometric normalization; illumination normalization; feature extraction; data compression
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An accurate and robust face recognition system was developed and tested. This system exploits the feature extraction capabilities of the discrete cosine transform (DCT) and invokes certain normalization techniques that increase its robustness to variations in facial geometry and illumination. The method was tested on a variety of available face databases, including one collected at McGill University. The system was shown to perform very well when compared to other approaches.
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