Oriental Journal of Computer Science and Technology

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A Comparative Review on Different Methods of Face Recognition


Affiliations
1 Department of Computer Science, Master of Computer Application, Christ University, India
2 Department of Computer Science, Christ University, India
 

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.
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  • W Wei-Lun Chao, “Face Recognition”,GICE,National Taiwan University.

  • LianZhichao and ErMengJoo, “Face Recognition Under Varying Illumination”, NanyangTechnilogical University, Singapore.

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  • A Comparative Review on Different Methods of Face Recognition

Abstract Views: 426  |  PDF Views: 5

Authors

Tenzin Dawa
Department of Computer Science, Master of Computer Application, Christ University, India
N. Vijayalakshmi
Department of Computer Science, Christ University, India

Abstract


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.

References





DOI: https://doi.org/10.13005/ojcst%2F10.01.31