Face Recognition

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Over the last thirty years or so, face recognition is an active research area in computer vision and one of the most successful applications of image analysis and understanding. Different algorithms have been proposed by researchers for solving this problem and many of them are considered as the state of the art. Nowadays, the face recognition problem is not only important in the research area, but it is vital in the commercial applications. A general statement of the face recognition problem can be formulated as follows: Given still or video images of a scene, identify or verify one or more persons in the scene using a stored database of faces. Due to this definition well-known algorithms such as PCA, ICA, LDA, EBGM, Bayesian Framework, HMM, SVM and Boosting are proposed by Turk et al. [1], Bartlett et al. [2], Zhao et al. [3], Wiskott et al. [4], Moghaddam et al. [5], Nefian et al. [6], Heisele et al. [7], and Lu et al. [8].These algorithms have acceptable success on the test image databases. Nevertheless, utilizing these algorithms in the commercial applications is subject to som...

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