Two-Dimensional Linear Discriminant Analysis of Principle Component Vectors for Face Recognition

2006 ◽  
Vol E89-D (7) ◽  
pp. 2164-2170 ◽  
Author(s):  
P. SANGUANSAT
Keyword(s):  
Face Recognition ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Two Dimensional ◽  
Linear Discriminant ◽  
Principle Component

Face recognition by decision fusion of two-dimensional linear discriminant analysis and local binary pattern

2016 ◽  
Vol 10 (6) ◽  
pp. 1118-1129 ◽  
Author(s):  
Qicong Wang ◽  
Binbin Wang ◽  
Xinjie Hao ◽  
Lisheng Chen ◽  
Jingmin Cui ◽  
...  
Keyword(s):  
Face Recognition ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Local Binary Pattern ◽  
Decision Fusion ◽  
Two Dimensional ◽  
Linear Discriminant

Face and Ethnical Group Recognition with Images of Different Resolutions

2021 ◽  
Vol 9 (1) ◽  
pp. 140-147
Author(s):  
Chong Lu ◽  
Yan Ren ◽  
Liying Han
Keyword(s):  
Face Recognition ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Two Dimensional ◽  
Face Database ◽  
Linear Discriminant ◽  
Better Than

In this paper, a dataset for Xinjiang minority ethnical groups is introduced, and implementation of two dimensional Linear Discriminant Analysis (2DLDA) and two-dimensional Partial Least Squares (2DPLS) is investigated. Two important topics for face recognition and the ethnicity recognition are investigated for database with different image resolutions. Experiments show that 2DLDA performances better than 2DPLS on our face database.

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