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Proposing a proper method for face recognition is still a challenging subject in biometric and computer vision applications. Although some reliable systems were introduced under relatively controlled conditions, their recognition rate is not satisfactory in the general settings. This is especially true when there are variations in pose, illumination, and facial expression. To alleviate these problems,...
In this paper, a novel method is proposed for face recognition based on combined Gabor features and unit-linking pulse coupled neural network (PCNN) time signature. In this approach, a probe face is first divided into a 2times2 block then the mean and standard deviation of the Gabor sub-face image are extracted which includes 40-dimension features in each block. The PCNN time signature of a face image...
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