Face Recognition Approach Using Gabor Wavelets, PCA and SVM

Provided by: International Journal of Computer Science Issues
Topic: Security
Format: PDF
Face recognition is an important research field of pattern recognition. Up to now, it caused researchers great concern from these fields, such as pattern recognition and computer vision. In general, the authors can make sure that the performance of face recognition system is determined by how to extract feature vector exactly and to classify them into a class correctly. Therefore, it is necessary for them to pay close attention to feature extractor and classifier. In this paper, they propose a methodological improvement to raise face recognition rate by fusing the phase and magnitude of gabor's representations of the face as a new representation, in the place of the raster image, although the gabor representations were largely used.

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