Sunday 24th of September 2017
 

Collaborative Representation for Face Recognition based on Bilateral Filtering


Rokan Khaji, Hong Li, Ramadan Abdo Musleh, Hongfen Li and Qabas Ali

Abstract: A great deal of research has shown that sparse representation based classification (SRC) is a powerful tool for face recognition. Sparse coding is an unsupervised learning algorithm that learns a succinct high-level representation of the inputs, given only unlabeled data; representing each input as a sparse linear combination of a set of basic functions, whereas the importance of sparsity is greatly affirmed in SRC and in abundant relevant research. Most researchers neglected the collaborative representation (CR) in SRC. In this paper, a modified and efficient approach for face recognition is proposed, based on combining two of the most successful local face representations, collaborative representation based classification and regularized least square (CRC_RLS) with bilateral filtering (BF). The combination of the two yield considerably better performance than either when implemented alone. Furthermore, experiments and their results show that the proposed method in this work outperforms several alternative methods.

Keywords: Sparse representation, Collaborative Representation, Bilateral Filtering

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ABOUT THE AUTHORS

Rokan Khaji
Rokan Khaji: Received the B.S. degree in mathematics science from Baghdad University, Iraq, in 1999, and the M.S. degree in numerical analysis from Mustansiriya University, Iraq, in 2006. He is currently pursuing Ph.D. degree in computational mathematics at School of Mathematics and Statistics, Huazhong University of Science and Technology, China. His research interests include numerical analysis and pattern recognition

Hong Li
Hong Li: Received M.S. degrees in mathematics from Huazhong University of Science and Technology, China, in 1986, and the Ph.D. degree in pattern recognition and intelligence control from Huazhong University of Science and Technology, China, in 1999. She is currently a Professor in the School of Mathematics and Statistics at Huazhong University of Science and Technology. She visited Chinese Academy of Sciences, Hong Kong Baptist University and University of Macao. Her research interests are approximation theory, computational learning, signal processing and analysis, pattern recognition and wavelet analysis.

Ramadan Abdo Musleh
Ramadan Abdo Musleh: Received the B.S. degree in mathematics science from Sana\'a University Yemen, in 1997, and the M.S. degree in Computational Mathematics from University of Science and Technology of China, China 2010. He is currently pursuing Ph.D. degree in computational mathematics at School of Mathematics and Statistics, Huazhong University of Science and Technology, China. His research interests include numerical analysis and pattern recognition.

Hongfen Li
Hongfen Li: Received M.S.degree in computational mathematics from Huazhong University of Science and Technology, China, in 2011. He is currently pursuing Ph.D. degree in computational mathematics at School of Mathematics and Statistics, Huazhong University of Science and Technology, China. His research interests include computer vision, and pattern recognition

Qabas Ali
Qabas Ali: Received the B.S. degree in Optoelectronics Engineering from Nahrain University, Iraq, in 2006, and the M.S. degree in Optoelectronics Engineering from Nahrain University, Iraq, in 2009. She is currently pursuing Ph.D. degree in Communication and Information Systems at Department of Electronics and Information Engineering, Huazhong University of Science and Technology, China. Her research interests include pattern recognition and Network Security.


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