Palmprint recognition by a two-phase test sample sparse representation

Author(s):  
Zhenhua Guo ◽  
Gang Wu ◽  
Qingwen Chen ◽  
Wenhuang Liu
Author(s):  
Zhonghua Liu ◽  
Jiexin Pu ◽  
Yong Qiu ◽  
Moli Zhang ◽  
Xiaoli Zhang ◽  
...  

Sparse representation is a new hot technique in recent years. The two-phase test sample sparse representation method (TPTSSR) achieved an excellent performance in face recognition. In this paper, a kernel two-phase test sample sparse representation method (KTPTSSR) is proposed. Firstly, the input data are mapped into an implicit high-dimensional feature space by a nonlinear mapping function. Secondly, the data are analyzed by means of the TPTSSR method in the feature space. If an appropriate kernel function and the corresponding kernel parameter are selected, a test sample can be accurately represented as the linear combination of the training data with the same label information of the test sample. Therefore, the proposed method could have better recognition performance than TPTSSR. Experiments on the face databases demonstrate the effectiveness of our methods.


Optik ◽  
2014 ◽  
Vol 125 (19) ◽  
pp. 5825-5832 ◽  
Author(s):  
Qingxiang Feng ◽  
Xingjie Zhu ◽  
Jeng-Shyang Pan

2013 ◽  
Vol 41 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Zhonghua Liu ◽  
Jiexin Pu ◽  
Meiyu Xu ◽  
Yong Qiu

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