An Improved Block 2DPCA Face Recognition Algorithm with L1-Norm

2012 ◽  
Vol 457-458 ◽  
pp. 1077-1082
Author(s):  
Hao Zheng ◽  
Lei Pan
2012 ◽  
Vol 457-458 ◽  
pp. 1077-1082 ◽  
Author(s):  
Hao Zheng ◽  
Lei Pan

Most of the existing Block 2DPCA algorithms are based on Frobenius norm, which makes them sensitive to outliers. In this paper, we propose a new improved Block 2DPCA algorithm with L1-norm, which is robust to outliers. The experimental results of FERET face database indicated that the recognition performance of new algorithm is superior to Block 2DPCA, more robust than Block 2DPCA.


2017 ◽  
Vol 13 (3) ◽  
pp. 267-281
Author(s):  
Matheel E. Abdulmunem E. Abdulmunem ◽  
◽  
Fatima B. Ibrahim

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 65091-65100
Author(s):  
Ayyad Maafiri ◽  
Omar Elharrouss ◽  
Saad Rfifi ◽  
Somaya Ali Al-Maadeed ◽  
Khalid Chougdali

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