Shift-invariant face recognition based on the karhunen-loeve approximationof amplitude spectra of fourier-transformed faces

Fourier 변환된 얼굴의 진폭스펙트럼의 karhunen-loeve 근사 방법에 기초한 변위불변적 얼굴인식

In face recognition based on the Karhunen-Loeve approximation, amplitudespectra of Fourier transformed facial images were used. We found taht the use of amplitude spetra gives not only the shift-invariance property but also some improvment of recognition rate. This is because the distance between the varing faces of a person compared with that between the different persons perfomed computer experiments on face recognitio with varing facial images obtained from total 55 male and 25 females. We confirmed that the use of amplitude spectra of Fourier-trnsformed facial imagesgives better recognition rate for avariety of varying facial images including shifted ones than the use of direct facial images does.