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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 3, 2016.
Abstract: Linear representation based face recognition is hotly studied in recent years. Competitive representation classification is a linear representation based method which uses the most competitive training samples to sparsely represent a probe. However, possible noises on a test face image can bias the representation results. In this paper we propose a facial noise detection method to remove noises in the test image during the competitive representation. We compare the proposed method with others on AR, Extended Yale B, ORL, FERET, and LFW databases and the experimental results show the good performance of our method.
Tao Liu, Cong Li, Ying Liu and Chao Li, “Competitive Representation Based Classification Using Facial Noise Detection” International Journal of Advanced Computer Science and Applications(IJACSA), 7(3), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070314
@article{Liu2016,
title = {Competitive Representation Based Classification Using Facial Noise Detection},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070314},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070314},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {3},
author = {Tao Liu and Cong Li and Ying Liu and Chao Li}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.