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Dawa, Tenzin
- A Comparative Review on Different Methods of Face Recognition
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Authors
Affiliations
1 Department of Computer Science, Master of Computer Application, Christ University, IN
2 Department of Computer Science, Christ University, IN
1 Department of Computer Science, Master of Computer Application, Christ University, IN
2 Department of Computer Science, Christ University, IN
Source
Oriental Journal of Computer Science and Technology, Vol 10, No 1 (2017), Pagination: 227-231Abstract
Face Recognition is a biometric system which can be used to identify or verify a person from digital image by using the facial features that are unique to each other. There are many techniques which can be used in a face recognition system. In this paper we review some of the algorithms and compare them to see which technique is better compared to one another. Techniques that are compared in this technique are Non-negative matrix factorization (NMF) with Support Vector Machine (SVM), Partial Least Squares (PLS) with Hidden Markov Model (HMM) and Local Ternary Pattern (LTP) with Booth’s Algorithm.Keywords
Face Recognition, NMF, SVM, PLS, HMM, LTP, Booth Algorithm.Full Text
References
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