Automatic face analysis system based on face recognition and facial physiognomy

Authors:
Eung-Joo Lee;Ki-Ryong Kwon
Affiliations:
Dep. of Information Communication Eng., TongMyong University, Korea;Div. of Electronic, Computer&Telecomm. Eng., Pukyong National Univ., Korea
Venue:
ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology
Year:
2006

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Abstract

An automatic face analysis system is proposed which uses face recognition and facial physiognomy. It first detects human's face, extracts its features, and classifies the shape of facial features. It will analyze the person's facial physiognomy and then automatically make an avatar drawing using the facial features. The face analysis method of the proposed algorithm can recognize face at real-time and analyze facial physiognomy which is composed of inherent physiological characteristics of humans, orientalism, and fortunes with regard to human's life. The proposed algorithm can draw the person's avatar automatically based on face recognition. We conform that the proposed algorithm could contribute to the scientific and quantitative on-line face analysis fields as well as the biometrics.