Melola Discovery

← Melola Discovery

Jurnal SINTA 2

FRONTAL FACIAL SYMMETRY DETECTION USING EIGENVALUE METHOD

JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 7 No. 2 (2008) · pp. 49–54

DOI
10.12962/j24068535.v7i2.a172
ISSN
2406-8535, 1412-6389
Published
2008-07-01
Publisher
Institut Teknologi Sepuluh Nopember
Language
eng

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

Collaboration network of the authors

16 authors · 27 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Gunadarma University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Agung SatriaGunadarma University1
Ayu HardiantiGunadarma University1
Fajar NugrahaGunadarma University1
Irwan BastianGunadarma University1
Denisha TrihapningsariGunadarma University1
Lintang Yuniar BanowosariGunadarma University1
Hustinawaty HustinawatyGunadarma University1
Ihsan JatnikaGunadarma University1
Henny MedyawatiGunadarma University1
Ety SutantyGunadarma University1
Sarifuddin MadendaGunadarma University1
Rodiah RodiahGunadarma University1
Diana Tri SusetianigtiasAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://juti.if.its.ac.id/index.php/juti/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">FRONTAL FACIAL SYMMETRY DETECTION USING EIGENVALUE METHOD</dc:title>
	<dc:creator xml:lang="en">R., Dewi Agushinta</dc:creator>
	<dc:creator xml:lang="en">S., Suryadi H.</dc:creator>
	<dc:creator xml:lang="en">A.W., Harya Iswara</dc:creator>
	<dc:description xml:lang="en">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</dc:description>
	<dc:publisher xml:lang="en">Institut Teknologi Sepuluh Nopember</dc:publisher>
	<dc:date>2008-07-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://juti.if.its.ac.id/index.php/juti/article/view/172</dc:identifier>
	<dc:identifier>10.12962/j24068535.v7i2.a172</dc:identifier>
	<dc:source xml:lang="en">JUTI: Jurnal Ilmiah Teknologi Informasi; Vol 7, No 2, Juli 2008; 49-54</dc:source>
	<dc:source>2406-8535</dc:source>
	<dc:source>1412-6389</dc:source>
	<dc:source>10.12962/j24068535.v7i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://juti.if.its.ac.id/index.php/juti/article/view/172/127</dc:relation>
</oai_dc:dc>