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Facial Expression Recognition System based on Geometric Feature

http://hdl.handle.net/20.500.12678/0000004471
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716615a5-b5d4-4f07-96f5-b19de43d81d7
None
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10043.pdf 10043.pdf (525 Kb)
Publication type
Article
Upload type
Publication
Title
Title Facial Expression Recognition System based on Geometric Feature
Language en_US
Publication date 2012-02-28
Authors
Aung, Darli Myint
Description
The facial expression recognition system hasbeen a significant field in human-computerinteraction. It is a considerably challenging fieldto generate an intelligent computer that is able toidentify and understand human emotions forvarious vital purposes. This paper focuses onfacial expression to identify five universal humanexpressions: neutral, happy, anger, sad andsurprise. The proposed system uses a techniqueof image processing consisting of 3 majorprocesses: 1) pre-processing of images, 2)geometric feature extraction of eyes and mouthfrom images, used for a calculation of Euclideandistances between each feature; and 3) faceexpression recognition using principalcomponent analysis method. Especially, themovement of the mouth is investigated forexpression recognition in this paper. Theeffectiveness of the proposed system can beconfirmed through the experimental results.
Keywords
Expression Recognition, Movement of the mouth, Geometric facial feature, component analysis
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/2400
Journal articles
Tenth International Conference On Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations
257
144
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