Abstract
Face recognition is a popular subject in biometrics research which has distinct advantages because of its non-contact process. This technology has gained popularity because of its large application value and market value, like video surveillance system for real time tracking of suspicious object. In this paper we focus on the image face which has to be correctly recognized using support vector Machine (SVM) techniques with Principle Components Analysis (PCA) which extract the features and reduce dimensionality. Also we have used KNN classifier. The SVM with PCA produces more accurate result compare to other methods. This paper achieved 92% successful recognition rate for detecting different face databases.
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