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Suryadi H. S.
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Computer Science & IT Dentistry Education Library & Information Science

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FRONTAL FACIAL SYMMETRY DETECTION USING EIGENVALUE METHOD R., Dewi Agushinta; S., Suryadi H.; A.W., Harya Iswara
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (743.886 KB) | DOI: 10.12962/j24068535.v7i2.a172

Abstract

Facial symmetry is correspondence of face components on the both sides of face, left and right of a dividing line or about a center or an axis. Most of the research use face component like eyes, nose and ears component to identify facial symmetry. In this paper we suggest to add mouth as another face component to increase accuracy in facial symmetry detection. The results of facial symmetry detection are used for authentication process, analysis in medical, psychology and anthropology scope. By using MATLAB 7.1 we develop a program that can analyze face,asymmetry or not with utilizing eigenvalue. The contribution of this analysis is to know whether eigenvalue is suitable or not in analyzing facial symmetry. Keywords: Eigenvalue, Face Components, Facial Symmetry
Co-Authors Dewi Agushinta R. Harya Iswara A.W.