Adaptive context-aware filter fusion for face recognition on bad illumination

Paper

Young, Nam Mi, Bashar, Md. Rezaul and Rhee, Phill Kyu. 2006. "Adaptive context-aware filter fusion for face recognition on bad illumination." Gabrys, Bogdan, Howlett, Robert J. and Jain, Lakhmi C. (ed.) KES 2006: 10th International Conference on Knowlege-Based Intelligent Information and Engineering Systems . Bournemouth, United Kingdom 09 - 11 Oct 2006 Berlin / Heidelberg, Germany. https://doi.org/10.1007/11892960_65
Paper/Presentation Title

Adaptive context-aware filter fusion for face recognition on bad illumination

Presentation TypePaper
AuthorsYoung, Nam Mi (Author), Bashar, Md. Rezaul (Author) and Rhee, Phill Kyu (Author)
EditorsGabrys, Bogdan, Howlett, Robert J. and Jain, Lakhmi C.
Journal or Proceedings TitleLecture Notes in Artificial Intelligence (Book series)
ERA Conference ID43436
Journal Citation4251, pp. 532-541
Number of Pages10
Year2006
Place of PublicationBerlin / Heidelberg, Germany
ISBN9783540465355
Digital Object Identifier (DOI)https://doi.org/10.1007/11892960_65
Web Address (URL) of Paperhttps://link.springer.com/chapter/10.1007%2F11892960_65
Conference/EventKES 2006: 10th International Conference on Knowlege-Based Intelligent Information and Engineering Systems
International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
Event Details
International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
KES
Rank
B
B
B
Event Details
KES 2006: 10th International Conference on Knowlege-Based Intelligent Information and Engineering Systems
Event Date
09 to end of 11 Oct 2006
Event Location
Bournemouth, United Kingdom
Abstract

At present, the performance of face recognition system depends much on the variations in illumination. To solve this problem, this paper presents an adaptable face recognition approach that uses filter fusion representation. The key idea is to use context-aware filter fusion to get better image from a bad illumination one. Genetic algorithm is the tool for adaptation for individual context category. These can provide robust face recognition on illumination context-awareness under uneven environments. Gabor wavelet representation can also provide a robust feature for image enhancement. Using these approaches, we have developed a robust face recognition technique that can recognize with a notable success and it has been tested on Inha DB and FERET face images

Keywordsface recognition; genetic algorithms; image enhancement; image processing; robustness (control systems); context-aware filter fusion; context-awareness; filter fusion representation
ANZSRC Field of Research 2020469999. Other information and computing sciences not elsewhere classified
460306. Image processing
Public Notes

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Byline AffiliationsInha University, Korea
Book TitleKnowledge-based intelligent information and engineering systems
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