ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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Vol -  10, Issue- 1 ,         Page(s) : 27 - 32  (2019 ) DOI :


An image consists of a background and foreground. Usually, the foreground consists of the face which is our object of interest. Sometimes the face may not be clearly visible due to the presence of shadows by parts of the face obstructing the light. This creates a problem for face detection and recognition applications. This works aims to create a system which will detect the face in self shadow conditions i.e where the full face is not clearly visible and then present the complete face.

  1. G. Iyengar, C. Neti IBM T. J. Watson Research Center “Detection of faces under shadows and lighting variations”
  2. G. D. Finlayson, S. D. Hordley, C. Lu, and M. S. Drew, “On the removal of shadows from images,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 28, no. 1, pp. 59–68, 2006. 
  3. Akmalbek Abdusalomov,Taeg Keun Whangbo , Oybek Djuraev, “A Review on various widely used shadow detection methods to identify a shadow from images ” 
  4. Shang-Hung Lin, Sun-Yuan Kung, Fellow, IEEE, and Long-Ji Lin “Face Recognition/Detection by Probabilistic Decision-Based Neural Network ”
  5. Namrita Singh, A.A.Maxton “A Survey on Shadow Detection Methods” 
  6. Takeshi Takai, Atsuto Maki, Takashi Matsuyama “Self Shadows and Cast Shadows in Estimating Illumination Distribution”
  7. Ling Zhang, Qing Zhang, and Chunxia Xiao, Member, IEEE,” Shadow Remover: Image Shadow Removal Based on Illumination Recovering Optimization”

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