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http://dx.doi.org/10.6109/jkiice.2012.16.7.1495

Face classification and analysis based on geometrical feature of face  

Jeong, Kwang-Min (경남정보대학교 정보통신계열)
Kim, Jung-Hoon (한국해양대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.7, 2012 , pp. 1495-1504 More about this Journal
Abstract
This paper proposes an algorithm to classify and analyze facial features such as eyebrow, eye, mouth and chin based on the geometric features of the face. As a preprocessing process to classify and analyze the facial features, the algorithm extracts the facial features such as eyebrow, eye, nose, mouth and chin. From the extracted facial features, it detects the shape and form information and the ratio of distance between the features and formulated them to evaluation functions to classify 12 eyebrows types, 3 eyes types, 9 mouth types and 4 chine types. Using these facial features, it analyzes a face. The face analysis algorithm contains the information about pixel distribution and gradient of each feature. In other words, the algorithm analyzes a face by comparing such information about the features.
Keywords
face recognition; pattern recognition; facial feature extraction; facial classification;
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