An Introduction to a Face Recognition System using PCA, FLDA and Artificial Neural Networks
نویسندگان
چکیده
Face recognition is a system that identifies human faces from an image database or from a video frame . The paper presents a literature review on face recognition approaches. It then explains two different algorithms for feature extraction which are Principal Component Analysis and Fisher Faces algorithm. It also explains how images can be recognized using a Backpropagation algorithm on a Feedforward neural network and Minimum Euclidean Distance. Keywords—eigenfaces, fisherfaces, neural network, backpropagation, minimum euclidean distance
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Face Recognition Using PCA, FLDA and Artificial Neural Networks
Face recognition is a system that identifies human faces through complex computational techniques. The paper explains two different algorithms for feature extraction. These are Principal Component Analysis and Fisher Faces algorithm. It then explains how images can be recognized using a backpropagation algorithm on a feed forward neural network. Two training databases one containing 20 images a...
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