A Survey Preprocessing Methods for Illumination Insensitive Face Recognition
Huiyuan Wang · Journal of Electrical & Electronic Education · 2008
Illumination variation is one of the challenging problems in face recognition,which can greatly affects the performance of face recognition systems.In the past few years,various methods have been proposed to handle the illumination problem.The preprocessing approaches commonly exploit simple and efficient image processing techniques so that they have been given more and more attention.The typical preprocessing approaches can be categorized into classical methods(histogram processing and Gamma intensity correction),Lambertian surface-based methods(self-quotient image and local normalization) and image decomposition-based methods(discrete cosine transform and empirical mode decomposition).This paper presents some review and summaries about those typical preprocessing approaches.