Biometric identification has received much attention due to the increasing demand on reliably characterizing individuals. Of all the biometrics features, face is among the most common and most accessible so that face recognition remains one of the most active research issues in pattern recognition. Over the past few decades, most work has focused on the source of 2D intensity or color images. Since the accuracy of 2D face recognition is strongly influenced by variations of poses, expressions, illumination and subordinates, it is still difficult to develop a robust automatic 2D face recognition system.
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