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

2008 ◽  
Author(s):  
Xinming Zhang ◽  
Jian Zou
Keyword(s):  
Feature Extraction ◽  
Face Recognition ◽  
Image Feature ◽  
Image Feature Extraction

Two-Dimensional Locality Discriminant Preserving Projections for Face Recognition

2010 ◽  
Vol 121-122 ◽  
pp. 391-398 ◽  
Author(s):  
Qi Rong Zhang ◽  
Zhong Shi He
Keyword(s):  
Feature Extraction ◽  
Face Recognition ◽  
Recognition Performance ◽  
Recognition Rate ◽  
Image Feature ◽  
Two Dimensional ◽  
Face Database ◽  
Image Feature Extraction ◽  
Locality Preserving Projection ◽  
Locality Preserving

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.

Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction

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