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Illumination-Robust Face Recognition System Based on Differential Components

Title
Illumination-Robust Face Recognition System Based on Differential Components
Authors
Lee, SH[Lee, Sang-Heon]Kim, DJ[Kim, Dong-Ju]Cho, JH[Cho, Jin-Ho]
DGIST Authors
Lee, SH[Lee, Sang-Heon]; Kim, DJ[Kim, Dong-Ju]
Issue Date
2012-08
Citation
IEEE Transactions on Consumer Electronics, 58(3), 963-970
Type
Article
Article Type
Article
Keywords
BiometricsConsumer ApplicationsD2D-PCADifferential ComponentFace ImagesFace RecognitionFace Recognition SystemsFacial FeatureIllumination ConditionsIllumination EffectIlluminationvariationMatching ScorePerformance DegradationPerformance EvaluationPrincipal Component AnalysisRecognition AccuracySubimagesTwo-Dimensional Principal Component AnalysisYale Face Database
ISSN
0098-3063
Abstract
Illumination variation generally causes performance degradation of face recognition systems under real-life environments. Therefore, we propose an illuminationrobust face recognition system using a fusion approach based on efficient facial feature called differential two-dimensional principal component analysis (D2D-PCA) for consumer applications. In the proposed method, face images are divided into two sub-images to minimize illumination effects, and D2D-PCA is separately applied to each sub-images. The individual matching scores obtained from two sub-images are then integrated using a weighted-summation operation, and the fused-score is utilized to classify the unknown user. Performance evaluation of the proposed system was performed using an extended Yale face database B which consists of 2,414 face images for 38 subjects representing 64 illumination conditions under the frontal pose. Experimental results show that the proposed fusion approach enhanced recognition accuracy by 22.02% compared to that of 2DPCA, and we confirmed the effectiveness of the proposed face recognition system under illumination-variant environments © 2011 IEEE.
URI
http://hdl.handle.net/20.500.11750/3347
DOI
10.1109/TCE.2012.6311343
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
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Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles


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