Literature Review on Artificial Neural Network and Support Vector Machine anchored in Face Recognition System
Journal Title: Scholars Journal of Engineering and Technology - Year 2016, Vol 4, Issue 2
Abstract
Abstract: In view of two fundamental reasons, face recognition system has gotten consideration in the research. The primary reason is the extensive variety of business and law enforcement applications and second reason is concerned with the accessibility of the attainable advancements. The combination of PCA-SVM (Principal Component Analysis and Support Vector Machine) and PCA-ANN (Principal Component analysis and Artificial Neural Network) techniques for face recognition system have been easily found in recent years. Some researchers came up to improve PCA-SVM and PCA-ANN combinations. This paper gives state-of-the-art audits of these blends and tries to clarify the reason that why PCA is utilized with numerous classifiers and which one combination is ideal to use in future. Keywords: Feature Extraction, Face Recognition, Support Vector Machine, Artificial Neural Network.
Authors and Affiliations
Rakesh Kumar Yadav, A. K Sachan
Keywords
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