Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition using the nearest feature line method
IEEE Transactions on Neural Networks
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Face detection has been an attractive field of research for both neuroscientists and computer vision scientists. Humans are able to identify reliably a large number of faces and neuroscientists are interested in understanding the perceptual and cognitive mechanisms at the base of the face detection process. Face detection helps human being to focus on the face recognition system, optimizing the system speed and performance. In this paper to detect the face Gabor filters are used. It performs dimensionality reduction and linear discriminate analysis on the Gabor wavelet faces. Gabor wavelet faces combined with neural network classifier shows very good performance, and achieves maximum correct recognition rate on different databases.