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In this paper a new approach to face recognition is presented which is based on processing of face images in hexagonal lattice. The importance of the hexagonal representation is that it possesses special computational features that are pertinent to the Human Vision process. Few advantages of processing images on hexagonal lattice are higher degree of circular symmetry, uniform connectivity, greater...
Face is considered to be one of the biometrics in automatic person identification. For face recognition system to be practical, it should be robust to variations in illumination, pose and expression as humans recognize faces irrespective of all these variations. In this paper, we present an illumination invariant face recognition method in the logarithm discrete cosine transform domain. We use an...
In the palmprint recognition application utilizing more information other than principle lines or minutiae is much helpful. In this paper we proposed discrete cosine transform (DCT) based feature vector for palmprint representation and matching and compared with DFT and wavelet transform. Here the central part of the palmprint image of size 128 times 128 is resized to the size of 64 times 64 and divided...
In this paper, a novel palmprint recognition approach is presented. A modified discrete cosine transform based feature extraction method is used to obtain palmprint features. Furthermore, a radial basis function neural network is employed for palmprint classification. In order to facilitate the training of radial basis function neural network, principal components analysis is applied to reduce these...
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