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- W2165234495 abstract "An efficient face recognition scheme is developed to recognize face in color images with non-uniform illumination conditions. The proposed scheme comprises two phases, namely face detection and face recognition. For the face detection phase, a lighting normalization function and an isosceles triangle approach are utilized to detect facial regions accurately. For the recognition phase, a SVM scheme is adopted to uniquely identify facial characteristics. The primary advantage of the proposed face recognition system is its ability to handle different facial image sizes under non-uniform illumination conditions. Moreover, the system performs better than PCA algorithms in term of success rate." @default.
- W2165234495 created "2016-06-24" @default.
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- W2165234495 date "2007-01-01" @default.
- W2165234495 modified "2023-09-23" @default.
- W2165234495 title "Face recognition in non-uniform illumination conditions using lighting normalization and SVM" @default.
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