Comparison Between SVD and DCT Feature Extraction Methods in Face Recognition
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Abstract
This paper compares SVD (singular value decomposition) with DCT (discrete cosine transform) in the face recognition, and concludes that SVD is less effective than DCT in recognition ratio and time cost. Experimental results show that SVD is an available feature extraction method, but is not a best one for pattern recognition
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