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http://dx.doi.org/10.5391/JKIIS.2014.24.4.343

Robust Face Recognition Against Illumination Change Using Visible and Infrared Images  

Kim, Sa-Mun (Department of Control and Robotics Engineering, Chungbuk University)
Lee, Dea-Jong (Department of Control and Robotics Engineering, Chungbuk University)
Song, Chang-Kyu (Department of Control and Robotics Engineering, Chungbuk University)
Chun, Myung-Geun (Department of Control and Robotics Engineering, Chungbuk University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.24, no.4, 2014 , pp. 343-348 More about this Journal
Abstract
Face recognition system has advanctage to automatically recognize a person without causing repulsion at deteciton process. However, the face recognition system has a drawback to show lower perfomance according to illumination variation unlike the other biometric systems using fingerprint and iris. Therefore, this paper proposed a robust face recogntion method against illumination varition by slective fusion technique using both visible and infrared faces based on fuzzy linear disciment analysis(fuzzy-LDA). In the first step, both the visible image and infrared image are divided into four bands using wavelet transform. In the second step, Euclidean distance is calculated at each subband. In the third step, recognition rate is determined at each subband using the Euclidean distance calculated in the second step. And then, weights are determined by considering the recognition rate of each band. Finally, a fusion face recognition is performed and robust recognition results are obtained.
Keywords
Face recognition; Illumination change; Fuzzy LDA; Wavelet transform;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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