14 March 2013 Research for binarization of uneven illumination text image
Author Affiliations +
Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87686O (2013) https://doi.org/10.1117/12.2006315
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
For the binarization of text image captured under uneven illumination,the article propose a new methods which combines gray value statistics with global threshold to remove uneven illumination effects.The method uses the gray value statistics method to extract the background image, so that the original subtract the background. Finally to get binary image by using improved simple statistical global threshold method. The experimental results show that this method not only retains the advantages of global threshold such as simpleness and efficient, but also has the advantages of the local threshold which retains the details of the character strokes well and avoids the disconnection and shade.Thereby the method improves the recognition efficiency of the binary text.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shouliang Liu, Shouliang Liu, Yiming Li, Yiming Li, Yupeng Gao, Yupeng Gao, Kai Yang, Kai Yang, } "Research for binarization of uneven illumination text image", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87686O (14 March 2013); doi: 10.1117/12.2006315; https://doi.org/10.1117/12.2006315


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