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

2006 ◽  
Vol E89-D (7) ◽  
pp. 2164-2170 ◽  
Author(s):  
P. SANGUANSAT
2016 ◽  
Vol 10 (6) ◽  
pp. 1118-1129 ◽  
Author(s):  
Qicong Wang ◽  
Binbin Wang ◽  
Xinjie Hao ◽  
Lisheng Chen ◽  
Jingmin Cui ◽  
...  

2021 ◽  
Vol 9 (1) ◽  
pp. 140-147
Author(s):  
Chong Lu ◽  
Yan Ren ◽  
Liying Han

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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