Recognition of human face based on improved multi-sample
Liu Xia, LI Lei-lei, LI Ting-jun, Liu Lu, 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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Recognition of human face based on improved multi-sample
本站小编 哈尔滨工业大学/2019-10-23
相关话题/Recognition human face based improved
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