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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Liu Xia,LI Lei-lei,LI Ting-jun,Liu Lu,Zhang Ying.Recognition of human face based on improved multi-sample[J].Journal of Harbin Institute Of Technology(New Series),2009,16(3):424-427.DOI:10.11916/j.issn.1005-9113.2009.03.024.
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Recognition of human face based on improved multi-sample
Author NameAffiliation
Liu Xia Automation Institute,Harbin University of Science and Technology,Harbin 150080,China 
LI Lei-lei Automation Institute,Harbin University of Science and Technology,Harbin 150080,China 
LI Ting-jun Automation Institute,Harbin University of Science and Technology,Harbin 150080,China 
Liu Lu Automation Institute,Harbin University of Science and Technology,Harbin 150080,China 
Zhang Ying Automation Institute,Harbin University of Science and Technology,Harbin 150080,China 
Abstract:
In order to solve the problem caused by variation illumination in human face recognition,we bring forward a face recognition algorithm based on the improved multi-sample. In this algorithm,the face image is processed with Retinex theory,meanwhile,the Gabor filter is adopted to perform the feature extraction. The experimental results show that the application of Retinex theory improves the recognition accuracy,and makes the algorithm more robust to the variation illumination. The Gabor filter is more effective and accurate for extracting more useable facial local features. It is proved that the proposed algorithm has good recognition accuracy and it is stable under variation illumination.
Key words:  face recognition  Gabor wavelet  Retinex theory
DOI:10.11916/j.issn.1005-9113.2009.03.024
Clc Number:TP391.41
Fund:

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