Competitive Representation Based Classification Using Facial Noise Detection
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 3
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.
Authors and Affiliations
Tao Liu, Cong Li, Ying Liu, Chao Li
Keywords
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- EP ID EP133350
- DOI 10.14569/IJACSA.2016.070314
- Views 107
- Downloads 0
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