1. Y Adini,Y Moses,S Ullman (1997). Face recognition: the problem of compensating for changes in illumination direction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7), 721-732.
2. S Anila,N Dr,Devarajan (2011). An efficient Preprocessing Technique under difficult Lighting Conditions. Proc. National Conference on Emerging Trends in Computer Communication and Informatics (ETCCI-2011)
3. R Basri,D Jacobs (2003). Lambertian reflectance and linear subspaces. IEEE Trans. Pattern Analysis & Machine Intelligence, 25(2), 218-233.
4. Peter Belhumeur,David Kriegman (1998). What Is the Set of Images of an Object Under All Possible Illumination Conditions?. International Journal of Computer Vision, 28(3), 245-260.
5. H Chen,P Belhumeur,D Jacobs (2000). In search of illumination invariants. CVPR, 254-261.
6. N Dalal,B Triggs (2005). Histograms of oriented gradients for human detection. Proc. CVPR, 886-893.
7. A Georghiades,P Belhumeur,D Kriegman (2001). From few to many: illumination cone models for face recognition under variable lighting and pose. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6), 643-660.
8. Ralph Gross,Vladimir Brajovic (2003). An Image Preprocessing Algorithm for Illumination Invariant Face Recognition. Lecture Notes in Computer Science, 10-18.
9. A Jain,A Ross,S Prabhakar (2004). An Introduction to Biometric Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 14(1), 4-20.
10. K Lee,J Ho,D Kriegman (2005). Acquiring linear subspaces for face recognition under variable lighting. IEEE Trans. Pattern Analysis & Machine Intelligence, 27(5), 684-698.
11. K Messer,J Matas,J Kittler,J Luettin,G Maitre (1999). XM2VTSDB: The Extended M2VTS Database. Proc. International Conference on Audio-and Video-Based Person Authentication, 72-77.
12. P Phillips,H Moon,P Rauss,S Rizvi (1997). The FERET Evaluation Methodology for Face-Recognition Algorithms. Proc. Conference on Computer Vision and Pattern Recognition, 137-143.
13. (1995). Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition. Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition AFGR-98, i.
14. Franck Davoine,Haibo Li,Robert Forchheimer (1997). Video compression and person authentication. Lecture Notes in Computer Science, 353-360.
15. Rabia Jafri,Hamid Arabnia (2009). A Survey of Face Recognition Techniques. Journal of Information Processing Systems, 5(2), 41-68.
16. S Rizvi,P Phillips,H Moon (1998). The FERET Verification Testing Protocol for Face Recognition Algorithms. Proc. International Conference on Automatic Face and Gesture Recognition
17. S Shan,W Gao,B Cao,D Zhao (2003). Illumination normalization for robust face recognition against varying lighting conditions. Proc. AMFG
18. H Wang,S Li,Y Wang (2004). Face recognition under varying lighting conditions using self-quotient image. Proc. IEEE Int. Conf. Autom. Face Gesture Recognition, 819-824.
19. Xiaoyang Tan,Bill Triggs (2010). Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. IEEE transactions on image processing, 19(6)
20. W Zhao,R Chellappa,P Phillips,A Rosenfeld (2003). Face recognition. ACM Computing Surveys, 35(4), 399-458.
21. W Zhao (1999). Robust Image Based 3D Face Recognition. Robust Image Based 3D Face Recognition
22. L Zhang,D Samaras (2003). Face recognition under variable lighting using harmonic image exemplars. CVPR, 01, 19-25.
23. N Paveˇsi´c (2009). Performance Evaluation of Photometric Normalization Techniques for Illumination Invariant Face Recognition. Advances in Face Image Analysis: Techniques and Technologies
