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Real Time Face Recognition System


Affiliations
1 Department of Information Technology, Christ College of Engineering and Technology, Puducherry-605005, India
     

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In this paper, to created a generic based face recognition and detection system using videos and images matching these faces to a precompiled database. Face detection is done using a Haar cascade, and Face recognization is done using a combination of Fisherfaces and PCA analysis, also known as Eigenfaces. The system shows promising performance and processes images quickly even on a system platform.

Keywords

Face Recognition, Face Authentication, Principal Component Analysis, Neural Network, Eigenvector, Eigenface.
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  • Real Time Face Recognition System

Abstract Views: 256  |  PDF Views: 2

Authors

S. Vijiyalakshmi
Department of Information Technology, Christ College of Engineering and Technology, Puducherry-605005, India
S. Kaliya Perumal
Department of Information Technology, Christ College of Engineering and Technology, Puducherry-605005, India
G. Karthikeyan
Department of Information Technology, Christ College of Engineering and Technology, Puducherry-605005, India
U. Ramachandran
Department of Information Technology, Christ College of Engineering and Technology, Puducherry-605005, India

Abstract


In this paper, to created a generic based face recognition and detection system using videos and images matching these faces to a precompiled database. Face detection is done using a Haar cascade, and Face recognization is done using a combination of Fisherfaces and PCA analysis, also known as Eigenfaces. The system shows promising performance and processes images quickly even on a system platform.

Keywords


Face Recognition, Face Authentication, Principal Component Analysis, Neural Network, Eigenvector, Eigenface.