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Different Methods for Statistical Face Representation-Review
Face is an important biometric feature for personal identification. Human beings easily detect and identify faces in a scene but it is very challenging for an automated system to achieve such objectives. Hence there is need to have reliable identification method for interacting users .In this paper we discuss past research on biometric face feature extraction and recognition of static images. We will present implementation outline of these methods along with their comparative measures and result analysis.
Keywords
Face Recognition, Feature Based Methods, Fisher’s Linear Discriminant (FLD).
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