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Performance Evaluation of Kernel-Based Feature Extraction Techniques for Face Recognition System
2019
FUOYE Journal of Engineering and Technology
Face recognition is considered to be one of the most reliable biometrics where security issues are of concerned. Feature extraction which is a functional block of a face recognition system becomes a critical problem when there is need to obtain the best feature with minimum classification error and low running time. Most existing face recognition systems have adopted different non-linear feature extraction techniques for face recognition but identification of the most suitable non-linear kernel
doi:10.46792/fuoyejet.v4i1.285
fatcat:cbrv6s6sbfbv3gpflxyx6mervm