Brief Review of a Hybrid Feature Extraction Technique for Face Recognition
نویسنده
چکیده
Face Recognition is a technique that can be used for verification and identification. The main objective is to maximize the accuracy and to minimize the complexity, time and error factors. The success of Face Recognition can be ensured by various techniques like ICA (Independent Component Analysis, PCA (Principle Component Analysis, MIS (Mirror Image Superposition), GF (Gaussian Filtering) and Neural Network. The paper aims to analyse the various techniques to achieve the accuracy and pattern recognition. Keywords— ICG, PCA, MIS, GF AND NEURAL NETWORK.
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