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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lee, S.Y.: Illumination Direction and Scale Robust Face Recognition using Log-polar and Background Illumination Modeling. Thesis, Inha University, Korea (2002)
Liu, H., et al.: Illumination Compensation and Feedback of Illumination Feature in Face Detection. In: Proc. International Conferences on Information-technology and Information-net, Beijing, vol. 3, pp. 444–449 (2001)
Lee, J., et al.: A Bilinear Illumination Model for Robust Face Recognition. In: 10th IEEE International conference on Computer Vision (ICCV 2005) (2005)
Savvides, M., et al.: Corefaces- Robust Shift Invariant PCA based Correlation Filter for Illumination Tolerant Face Recognition. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004) (2004)
Laiyun, et. al.: Face Relighting for Face Recognition Under Generic Illumination. In: IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP 2004) (2004)
Wang, H., Li, S.Z., et al.: Illumination Modeling and Normalization for Face Image. In: IEEE International workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003) (2003)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley, Reading (1992)
Moore, A.: Real-time Neural System for color Constancy. IEEE Transactions on Neural Networks 2(2) (1991)
Funt, B.V., Ciurea, F., McCann, J.: Retinex in Matlab. In: Proc. of IS&T/SID Eighth Color Imaging Conference, pp. 112– 121 (2000)
Jobson, D.J., Rahman, Z.-u. Woodell, G.A.: The Spatial Aspect of Color and Scientific Implications of Retinex Image Processing
Funt, B., Barnard, K.: Luminance-Based Multi-Scale Retinex. In: rmalize proceedings AIC Colour 97 8th Congress of the International Colour Association (1997)
Bossmaier, T.R.J.: Efficient image representation by Gabor functions - an information theory approach. In: Kulikowsji, J.J., Dicknson, C.M., Murray, I.J. (eds.), pp. 698–704. Pergamon Press, Oxford
Savvides, M., Vijaya Kumar, B.V.K., Khosla, P.K.: Robust, Shift-Invariance Biometric Identification from Partial Face Images. In: Proc of SPIE, Biometric Technologies for Human Identifications (OR51), Orlando, FL (2004)
Savvides, M., Vijaya Kumar, B.V.K.: Quad Phase Minimum Average Correlation Energy Filters for Reduced Memory Illumination Tolerant Face Authentication. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 19–26. Springer, Heidelberg (2003)
Georghiades, S., Belhumeur, P.N., Kriegman, D.J.: From Few to Many: Illumination One Models for face recognition under Variable Lighting and Pose. IEEE Trans. on PAMI 23(6), 643–660 (2001)
Phillips, P.: The FERET database and evaluation procedure for face recognition algorithms. Image and Vision Computing 16(5), 295–306 (1999)
Ramuhalli, P., Polikar, R., Udpa, L., Udpa, S.: Fuzzy ARTMAP network with evolutionary learning. In: Proc. of IEEE 25th Int. Conf. On Acoustics, Speech and Signal Processing (ICASSP 2000), Istanbul, Turkey, vol. 6, pp. 3466–3469 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Young, N.M., Bashar, M.R., Rhee, P.K. (2006). Adaptive Context-Aware Filter Fusion for Face Recognition on Bad Illumination. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_65
Download citation
DOI: https://doi.org/10.1007/11892960_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
eBook Packages: Computer ScienceComputer Science (R0)