Face Recognition Based on Sub-image Feature Extraction and LS-SVM

Author(s):  
Xinming Zhang ◽  
Jian Zou
2010 ◽  
Vol 121-122 ◽  
pp. 391-398 ◽  
Author(s):  
Qi Rong Zhang ◽  
Zhong Shi He

In this paper, we propose a new face recognition approach for image feature extraction named two-dimensional locality discriminant preserving projections (2DLDPP). Two-dimensional locality preserving projections (2DLPP) can direct on 2D image matrixes. So, it can make better recognition rate than locality preserving projection. We investigate its more. The 2DLDPP is to use modified maximizing margin criterion (MMMC) in 2DLPP and set the parameter optimized to maximize the between-class distance while minimize the within-class distance. Extensive experiments are performed on ORL face database and FERET face database. The 2DLDPP method achieves better face recognition performance than PCA, 2DPCA, LPP and 2DLPP.


2019 ◽  
Vol 16 (5) ◽  
pp. 781-785 ◽  
Author(s):  
Zhikun Chen ◽  
Junjun Jiang ◽  
Chong Zhou ◽  
Xinwei Jiang ◽  
Shaoyuan Fu ◽  
...  

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