Face Recognition Using Principle Component Analysis Techniques

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
In this paper the authors present an effective and naval approach for face detection using principle component analysis techniques. The system commences feature extraction through principle component analysis method, in which the needed features of faces are extracted out in the form of feature vectors. The feature vectors based upon principle component analysis techniques are used as the input of the classifier, which is a feed forward neural network on reduced feature subspace learned by principle component approach for recognition of faces.
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