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A Review of Face Recognition Techniques


Affiliations
1 Department of Computer Science, Mewar University, Chittorgarh, Rajasthan, India
2 Business School, University of Kashmir, Srinagar, Jammu and Kashmir, India
     

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Face Recognition is a computer application for automatically identifying a person from a still image or video frame. The face recognition problem is challenging as it needs to account for all possible appearance variation caused by change in illumination, facial features, occlusions, pose, face expression, identity etc. It has received a great deal of attention over the last few years because of its many applications in various domains.  This paper presents a general framework of facial recognition and reviews various techniques of facial recognition especially neural networks which has emerged as the best technique for facial recognition. This paper also discusses various applications of facial recognition.


Keywords

Face Recognition, Person Identification, Biometrics, Neural Networks.
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  • A Review of Face Recognition Techniques

Abstract Views: 440  |  PDF Views: 3

Authors

Sameer Sadiq Sofi
Department of Computer Science, Mewar University, Chittorgarh, Rajasthan, India
Rafi Ahmad Khan
Business School, University of Kashmir, Srinagar, Jammu and Kashmir, India

Abstract


Face Recognition is a computer application for automatically identifying a person from a still image or video frame. The face recognition problem is challenging as it needs to account for all possible appearance variation caused by change in illumination, facial features, occlusions, pose, face expression, identity etc. It has received a great deal of attention over the last few years because of its many applications in various domains.  This paper presents a general framework of facial recognition and reviews various techniques of facial recognition especially neural networks which has emerged as the best technique for facial recognition. This paper also discusses various applications of facial recognition.


Keywords


Face Recognition, Person Identification, Biometrics, Neural Networks.