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Gabor Features and Support Vector Machine for Face Identification(BIOMETRICS AND ITS APPLICATIONS)
2009
International journal of biomedical soft computing and human sciences
A Shrlrport Vbctor MZichine (SVAny foce identij7cation neethod using optirnized Gabor.features is presented in this papen 200 Gabor .12iatures are ,first selected Lly a boosting aigorithm, which are then combined with SVM to build a two-class basedfoce recognition optstem. Vvaiile computation and men;oiy cost ofthe Gaborfaature extraction process has been signij7cantly redueed our method has achieved the same accuracy as a Gaborfaature andLDA based multi-ctass system.
doi:10.24466/ijbschs.14.1_61
fatcat:uuustq2evvahxno46oov677ljq