‘Symmetrical face’ based improved LPP method for face recognition |
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Authors: | Shuai Wu Jian Cao |
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Affiliation: | Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China |
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Abstract: | As one of the most important branches of pattern recognition and computer vision, face recognition has more and more become the focus of researches. In real word applications, the face image might have various changes owing to varying illumination, facial expression and poses, so we need sufficient training samples to convey these possible changes. However, most face recognition systems cannot capture many face images of every user for training, non-sufficient training samples have become one bottleneck of face recognition. In this paper, we propose to exploit the symmetry of the face to generate ‘symmetrical face’ samples and use an improved LPP method to perform classification. Experimental results show that our method can get a high accuracy. |
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Keywords: | &lsquo Symmetrical face&rsquo Face recognition Improved LPP method |
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