Abstract: Security and identification of a person plays vital role in any industry. There are several ways for utilizing this purpose. One is face recognition. Face recognition is an essential means of confirming a person. The benefit of face recognition is that, it allows us to know the transformations in the face pattern of a person to considerable limit. This system for recognizing face can tolerate local variants in the face appearance .Hence face recognition system can be used as a key aspect in identifying criminals in crime patrolling. There are numerous techniques to face recognition of which Principal Component Analysis (PCA) is assimilated in our project. For each person, the system contains a database of a set of facial patterns. The distinctive features called ‘eigenfaces’ are obtained from the stored images using which the system is trained for consequent recognition of new images of an individual.
Keywords: Face recognition, Principal Component Analysis, Eigen faces.
Title: Face Recognition System Using PCA
Author: Amandeep Singh, Suhani Shubham, Tanya Narain, Vipin Singh
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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