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학술지 SVM-based Face Verification with Feature Set of Small Size
Cited 29 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
이경희, 정용화, 변혜란
발행일
200207
출처
Electronics Letters, v.38 no.15, pp.787-789
ISSN
0013-5194
출판사
IET
DOI
https://dx.doi.org/10.1049/el:20020591
협약과제
02MK2200, 사용자 인증을 위한 생체인식처리 기술, 정용화
초록
An efficient algorithm for face verification is presented, which uses support vector machines with the feature set extracted by genetic algorithms (GA). By using the GA in selecting the discriminating feature set, we obtain a high recognition rate even with a small amount of memory.
KSP 제안 키워드
Efficient algorithms, Feature set, Genetic Algorithm, Recognition rate, Support VectorMachine(SVM), face verification, small size