A comparative study on illumination preprocessing in face recognition

  title={A comparative study on illumination preprocessing in face recognition},
  author={Hu Han and Shiguang Shan and Xilin Chen and Wen Gao},
  journal={Pattern Recognition},
Illumination preprocessing is an effective and efficient approach in handling lighting variations for face recognition. Despite much attention to face illumination preprocessing, there is seldom systemic comparative study on existing approaches that presents fascinating insights and conclusions in how to design better illumination preprocessing methods. To fill this vacancy, we provide a comparative study of 12 representative illumination preprocessing methods (HE, LT, GIC, DGD, LoG, SSR, GHP… CONTINUE READING
Highly Cited
This paper has 90 citations. REVIEW CITATIONS
49 Citations
48 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 49 extracted citations

91 Citations

Citations per Year
Semantic Scholar estimates that this publication has 91 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 48 references

The CMU pose

  • T. Sim, S. Baker, M. Bsat
  • illumination, and expression database, IEEE…
  • 2003
Highly Influential
9 Excerpts


  • M. Lades, J. C. Vorbruggen, J. Buhmann, J. Lange
  • von der Malsburg, R.P. Wurtz, W. Konen…
  • 1993
Highly Influential
4 Excerpts

Adaptive histogram equalization and its variations

  • S. M. Pizer, E. P. Amburn, +6 authors K. Zuiderveld
  • Computer Vision, Graphic, and Image Processing 39…
  • 2013
3 Excerpts

Similar Papers

Loading similar papers…