Recently, biometric techniques are used widely in field of security system. Especially, face recognition is one of popular biometrics due to its intuitiveness and convenience. However, human face is always exposed and likely to be a target of spoofing attack. Thus, in face recognition security system, fake face detection is important issue as much as face recognition. In general, human skin color is vary under the influence of blood flow but it is impossible to perceive such variation with naked eye. Fortunately, a proposed skin color magnification method makes it possible to capture these variations. From that, we extract the Received (January 11, 2016), Review Result (January 25, 2016) Accepted (February 1, 2016), Published (March 31, 2016) 110-743 Department of Computer Science, Sangmyung Univ., 7 Hongji-dong, Jongno-gu, Seoul, Korea email: tjrjsgk@naver.com (Corresponding Author) 110-743 Department Computer Science, Sangmyung Univ., 7 Hongji-dong, Jongno-gu, Seoul, Korea email: eclee@smu.ac.kr * 본 연구는 미래창조과학부 및 정보통신기술진흥센터의 대학ICT연구센터육성 지원사업의 연구결과로 수행되 었음 (IITP-2015-R0992-15-1014) Physiological signal extraction based liveness detection method for face recognition system Copyright c 2016 HSST 52 physiological signal from face skin then distinguish the captured face by camera whether the face image is live or not. Proposed method has no need to training process before use and does not require user to any behavior or facial expression. Experiment result showed that the real and fake(facial photo) has distinctive results in terms of inflection point of the extracted physiological signal.