대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2006년도 하계종합학술대회
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- Pages.331-332
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- 2006
주성분 분석 기반의 얼굴 인식을 위한 가변 생체정보 생성 방법
Changeable Biometrics for PCA based Face recognition
- 정민이 (생체인식 연구센터(BERC) 연세대학교 생체인식 협동과정) ;
- 이철한 (생체인식 연구센터(BERC) 연세대학교 생체인식 협동과정) ;
- 최정윤 (생체인식 연구센터(BERC) 연세대학교 생체인식 협동과정) ;
- 김재희 (생체인식 연구센터(BERC) 연세대학교 생체인식 협동과정)
- Jeong, Min-Yi (Biometrics Engineering Research Center Yonsei University) ;
- Lee, Chul-Han (Biometrics Engineering Research Center Yonsei University) ;
- Choi, Jeung-Yoon (Biometrics Engineering Research Center Yonsei University) ;
- Kim, Jai-Hie (Biometrics Engineering Research Center Yonsei University)
- 발행 : 2006.06.21
초록
To enhance security and privacy in biometrics, changeable (or cancelable) biometrics have recently been introduced. The idea is to transform a biometric signal or feature into a new one for enrollment and matching. In this paper, we proposed changeable biometrics for face recognition using on PCA based approach. PCA coefficient vector extracted from an input face image. The vector is scrambled randomly and removed. When a transformed template is compromised, it is replaced by a new scrambling rule. In our experiment, we compared the performance between when PCA coefficient vectors are used for verification and when the transformed coefficient vectors are used for verification.
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