Bashar, M. Rezaul and Li, Yan and Rhee, Phill Kyu (2007) An approach of context ontology for robust face recognition against illumination variations. In: ICICT 2007: International Conference on Information and Communication Technology , 7-9 Mar 2007, Dhaka, Bangladesh.
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This paper proposes a face recognition method that is robust against image variations due to arbitrary lighting condition. Though many researches have been carried out on face recognition system, however; there exist some limitations such as illumination, pose, alignment, occlusion, etc. This paper presents a context ontology model making a robust face recognition system on different illumination situations. Our proposed system works on two phases: environmental context ontology building (modelling) and recognition using context ontology. Context ontology is built using data acquisition, context learning and context categorization. The recognition approach is implemented on illumination variant face recognition that takes identified context as input and performs recognition with usual process such as pre-processing, feature extraction, learning, and recognition. We have tested the recognition performance of our proposed model with an international standard FERET face database (our produced synthesized FERET images) and we have achieved a success rate of more than 92%.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Uncontrolled Keywords:||context ontology; feature extraction; face recognition|
|Subjects:||280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280203 Image Processing
280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280204 Signal Processing
280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280207 Pattern Recognition
|Depositing User:||Dr Yan Li|
|Date Deposited:||11 Oct 2007 01:16|
|Last Modified:||02 Jul 2013 22:48|
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