Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection
This paper introduces a new solution of recognizing human faces in 2-dimensional digital images using a localization of facial parts information (such as eyes, nose, eyebrow, mouth, ears, etc), Pseudo Zernike Moment Invariants (PZMI) as feature, and Radial Basis Function (RBF) neural network as clas...
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2006
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| Online Access: | http://eprints.utm.my/3206/1/DzulkifliMohamad2006_DevelopmentofaFaceRecognitionSystem.pdf http://eprints.utm.my/3206/ |
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| _version_ | 1845470848355401728 |
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| author | Chu, Kai Chuan Mohamad, Dzulkifli |
| author_facet | Chu, Kai Chuan Mohamad, Dzulkifli |
| author_sort | Chu, Kai Chuan |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper introduces a new solution of recognizing human faces in 2-dimensional digital images using a localization of facial parts information (such as eyes, nose, eyebrow, mouth, ears, etc), Pseudo Zernike Moment Invariants (PZMI) as feature, and Radial Basis Function (RBF) neural network as classifier. The proposed method, employs a set of different kind of feature from the face images and projected in each appropriately transform methods in parallel. Then the output of the RBF classifiers are fused together to make a decision. The proposed method can process the recognition and lends itself to higher classification accuracy by providing flexibility in dealing facial features, and not affected by irrelevant information in an image |
| format | Conference or Workshop Item |
| id | my.utm.eprints-3206 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2006 |
| record_format | eprints |
| spelling | my.utm.eprints-32062017-08-30T01:36:16Z http://eprints.utm.my/3206/ Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection Chu, Kai Chuan Mohamad, Dzulkifli QA75 Electronic computers. Computer science This paper introduces a new solution of recognizing human faces in 2-dimensional digital images using a localization of facial parts information (such as eyes, nose, eyebrow, mouth, ears, etc), Pseudo Zernike Moment Invariants (PZMI) as feature, and Radial Basis Function (RBF) neural network as classifier. The proposed method, employs a set of different kind of feature from the face images and projected in each appropriately transform methods in parallel. Then the output of the RBF classifiers are fused together to make a decision. The proposed method can process the recognition and lends itself to higher classification accuracy by providing flexibility in dealing facial features, and not affected by irrelevant information in an image 2006 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/3206/1/DzulkifliMohamad2006_DevelopmentofaFaceRecognitionSystem.pdf Chu, Kai Chuan and Mohamad, Dzulkifli (2006) Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection. In: Postgraduate Annual Research Seminar 2006 (PARS 2006), 24 - 25 May 2006, Postgraduate Studies Department FSKSM, UTM Skudai. |
| spellingShingle | QA75 Electronic computers. Computer science Chu, Kai Chuan Mohamad, Dzulkifli Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection |
| title | Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection |
| title_full | Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection |
| title_fullStr | Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection |
| title_full_unstemmed | Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection |
| title_short | Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection |
| title_sort | development of a face recognition system using artificial intelligent techniques based on hybrid feature selection |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/3206/1/DzulkifliMohamad2006_DevelopmentofaFaceRecognitionSystem.pdf http://eprints.utm.my/3206/ |
| url_provider | http://eprints.utm.my/ |