A Review on image binarization in degraded documents images

Volume: 3    Issue: 4

Year of Publication: 2016

Pages: (13-16)

Authors: DivyaJyoti, Arun Sharma, Bodh Raj, KapilKapoor

Download Full Text (PDF)

Abstract

At present time image processing is a hot immerging research area, and in this paper we have reviewed one of the hot immerging area of image processing that is image binarization, with the help of image binarization we would able to retrieve text from degraded documents, we have also present a solution for improving the existing research in the later section of the paper.

References

1. Meng Bai, Chunheng Wang, Baihua Xiao Minhua Li a, \"Conditional random field for text segmentation from images with complex background,\" Pattern Recognition Letters, pp. 2295-2308, july 2010.

2. Maria T. Lopez, Jose Carlos Castillo Antonio Fernandez-Caballero, \"Display text segmentation after learning best-fitted OCR binarization parameters,\" Expert Systems with Applications, pp. 4032-4043, 2012.

3. G. Chavent, F. Clement & P. Weis H. Ben Ameur, \"Image segmentation with multidimensional refinement indicators,\" Inverse Problems in Science and Engineering, vol. 19, pp. 577-597, july 2011.

4. Themos Stafylakisa, Vassilis Katsourosa, George Carayannis Vassilis Papavassilioua, \"Handwritten document image segmentation into text lines and words,\" Pattern Recognition, pp. 369-377, may 2009.

5. M. Neubert , H. Herold & I. Niemeyer P. R. Marpu, \"Enhanced evaluation of image segmentation results,\" Journal of Spatial Science, vol. 55, pp. 55–68, july 2010.

Keywords