Face Recognition technology is a very important biological feature Recognition technology. Face Recognition is more and more researchers' attention, especially the principal Component Analysis method (Principle Component Analysis, PCA) after the application of Face Recognition, Face Recognition application domain expands unceasingly in daily life, such as immigration, entrance guard system, the Olympic security, airport security checks, etc. Although the face recognition system has better recognition effect has been achieved, but still by illumination, posture, facial expression change, hairstyle, with or without glasses, and the influence of various factors such as aging. Therefore, in this paper, the study of face recognition technology, has important theory significance and practical application value.A face recognition method that based on KPCA and SVM is proposed in this paper.
목차
Abstract 1. Introduction and Background 2. Basic Methods 3. Support Vector Machine 4. KPCA Application in Human Face Feature Extraction 5. Experiments 6. Conclusion References
키워드
human face recognitionSupport Vector MachineKernel Principal Component Analysis
저자
Feng Yue [ School of Automation, Harbin University of Science and Technology HUST Harbin, China ]
Meng Qing Song [ School of Automation, Harbin University of Science and Technology HUST Harbin, China ]
Yuan Hai Bo [ School of Automation, Harbin University of Science and Technology HUST Harbin, China ]
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.7 No.6