A SVM-BASED METHOD FOR FACE RECOGNITION USING A WAVELET-PCA REPRESENTATION OF FACES (MP-P3)

Author(s) : Majid Safari (Department of Electrical and Computer Engineering, University of Tehran, Iran) Mehrtash Tafazzoli Harandi (Department of Electrical and Computer Engineering, University of Tehran, Iran) Babak Araabi (Department of Electrical and Computer Engineering, University of Tehran, Iran)

Abstract : This paper proposes a new method of face representation which is used for face recognition by SVM. For face representation we have used a two-step method, first two-dimensional Discrete Wavelet Transform (DWT) is used to transform the faces to a more discriminated space and then Principal Component Analysis (PCA) is applied. The proposed method produced a significant improvement which includes a substantial reduction in error rate and in time of processing during the obtaining PCA orthonormal basis.

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