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New Index
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Item
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Facial Expression Recognition System based on Geometric Feature
http://hdl.handle.net/20.500.12678/0000004471
http://hdl.handle.net/20.500.12678/000000447145d4016e-6850-4692-a552-9d388ba42ac2
716615a5-b5d4-4f07-96f5-b19de43d81d7
Name / File | License | Actions |
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Publication type | ||||||
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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
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