Binarization of camera-captured document using A MAP approach

Xujun Peng; Srirangaraj Setlur; Venu Govindaraju; Ramachandrula Sitaram

doi:10.1117/12.874091

24 January 2011 Binarization of camera-captured document using A MAP approach

Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, Ramachandrula Sitaram

Proceedings Volume 7874, Document Recognition and Retrieval XVIII; 78740R (2011) https://doi.org/10.1117/12.874091
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Document binarization is one of the initial and critical steps for many document analysis systems. Nowadays, with the success and popularity of hand-held devices, large efforts are motivated to convert documents into digital format by using hand-held cameras. In this paper, we propose a Bayesian based maximum a posteriori (MAP) estimation algorithm to binarize the camera-captured document images. A novel adaptive segmentation surface estimation and normalization method is proposed as the preprocessing step in our work and followed by a Markov Random Field based refine procedure to remove noises and smooth binarized result. Experimental results show that our method has better performance than other algorithms on bad or uneven illumination document images.

Citation Download Citation

Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, and Ramachandrula Sitaram "Binarization of camera-captured document using A MAP approach", Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 78740R (24 January 2011); https://doi.org/10.1117/12.874091

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