An approach of context ontology for robust face recognition against illumination variations

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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Abstract

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%.

Statistics for this ePrint Item

Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed:	Yes
Item Status:	Live Archive
Faculty/School / Institute/Centre:	Historic - Faculty of Sciences - Department of Maths and Computing (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Sciences - Department of Maths and Computing (Up to 30 Jun 2013)
Date Deposited:	11 Oct 2007 01:16
Last Modified:	02 Jul 2013 22:48
Uncontrolled Keywords:	context ontology; feature extraction; face recognition
Fields of Research (2008):	08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
Socio-Economic Objectives (2008):	E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI:	https://doi.org/10.1109/ICICT.2007.375351
URI:	http://eprints.usq.edu.au/id/eprint/2911

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