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      • Fusion of Face and ID Cards Recognition for Person Identification

        Chalermsak Sangkamanee,Kosin Chamnongthai 대한전자공학회 2015 ITC-CSCC :International Technical Conference on Ci Vol.2015 No.6

        In this paper we present a range of image processing techniques as potential pre-processing steps, which attempt to improve the performance of the Eigenface method of face recognition. Verification tests are carried out by applying thresholds to gather false acceptance rate (FAR) and false rejection rate (FRR) results from a data set comprised of images that present typical difficulties when attempting recognition, such as strong variations in lighting direction and intensity, partially covered faces and changes in facial expression. Results are compared using the equal error rate (EER), which is the error rate when FAR is equal to FRR. We determine the most successful methods of image processing to be used with eigenface based face recognition, in application areas such as security, surveillance, data compression and archive searching.

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