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- W2654359732 abstract "Face Recognition concept is one of the successful and important applications of image analysis. It’s a holistic approach towards the technology and have potential applications in various areas such as Biometrics, Information society, Law enforcement and Surveillance, Smart cards, Access control etc. This paper provides an overview of real time application of Face Recognition concept by generating a matlab code using image acquisition tool box. The basic approach used is Principal Component Analysis using Eigen faces. Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary images. It detects facial features and ignores anything else, such as buildings, trees and bodies. We have implemented an efficient system to recognize faces from images with some near real-time variations. Our approach essentially was to implement and verify the algorithm. This method consist on weighting the difference between a given face image and a mean image, which is obtained by averaging a predefined set of faces. The training set is a group of face images from which the mean face is calculated. Face detection takes place by linearly projecting the image to a low dimensional image space and weighting the difference with respect to a set of eigenvectors." @default.
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- W2654359732 date "2015-06-01" @default.
- W2654359732 modified "2023-09-26" @default.
- W2654359732 title "FACE RECOGNITION USING PCA FOR REAL TIME APPLICATIONS" @default.
- W2654359732 hasPublicationYear "2015" @default.
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