Adaptive context-aware filter fusion for face recognition on bad illumination
Paper
Paper/Presentation Title | Adaptive context-aware filter fusion for face recognition on bad illumination |
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Presentation Type | Paper |
Authors | Young, Nam Mi (Author), Bashar, Md. Rezaul (Author) and Rhee, Phill Kyu (Author) |
Editors | Gabrys, Bogdan, Howlett, Robert J. and Jain, Lakhmi C. |
Journal or Proceedings Title | Lecture Notes in Artificial Intelligence (Book series) |
ERA Conference ID | 43436 |
Journal Citation | 4251, pp. 532-541 |
Number of Pages | 10 |
Year | 2006 |
Place of Publication | Berlin / Heidelberg, Germany |
ISBN | 9783540465355 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/11892960_65 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007%2F11892960_65 |
Conference/Event | KES 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 |
Keywords | face recognition; genetic algorithms; image enhancement; image processing; robustness (control systems); context-aware filter fusion; context-awareness; filter fusion representation |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
460306. Image processing | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Inha University, Korea |
Book Title | Knowledge-based intelligent information and engineering systems |
https://research.usq.edu.au/item/9zy32/adaptive-context-aware-filter-fusion-for-face-recognition-on-bad-illumination
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