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Reseach Article

Binarization of Document Images

Published on September 2016 by Anmol Sharma, Monika Aggarwal
International Conference on Advances in Emerging Technology
Foundation of Computer Science USA
ICAET2016 - Number 4
September 2016
Authors: Anmol Sharma, Monika Aggarwal
25dd193a-e250-40d7-9bab-565830f0cb6d

Anmol Sharma, Monika Aggarwal . Binarization of Document Images. International Conference on Advances in Emerging Technology. ICAET2016, 4 (September 2016), 6-11.

@article{
author = { Anmol Sharma, Monika Aggarwal },
title = { Binarization of Document Images },
journal = { International Conference on Advances in Emerging Technology },
issue_date = { September 2016 },
volume = { ICAET2016 },
number = { 4 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 6-11 },
numpages = 6,
url = { /proceedings/icaet2016/number4/25897-t051/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Emerging Technology
%A Anmol Sharma
%A Monika Aggarwal
%T Binarization of Document Images
%J International Conference on Advances in Emerging Technology
%@ 0975-8887
%V ICAET2016
%N 4
%P 6-11
%D 2016
%I International Journal of Computer Applications
Abstract

A binary image is a digital image that has just two possible values destined for each pixel. In general two colors are used for a binary image i. e. black and white. Binarization is one of the most important pre-processing step which consists to divide foreground and background of document images. Image binarization is the method of division of pixel values into double collections, black as foreground and white as background. The average mean filter applied for image filtering. Triangular fuzzy logic method is best contrast enhancement method. Edge detection done by morphological operator in this paper. Thresholding has formed to be a well-known method used for binarization of document images. Global and local thresholding well-known technique for binarization. To improve the quality of the output binary image, Bradley method used in local thresholding. After binarization of document image, to discover the values of parameters. Parameters like PSNR, F-measure, NRM, MPM and DRD.

References
  1. P. R. Marpu, M. N. (2010) "Enhanced evaluation of image segmentation results" Journal of Spatial Science, Volume No 55, pp 55–68.
  2. H. Ben Ameur, G. C. (2011) "Image segmentation with multidimensional refinement indicators" Inverse Problems in Science and Engineering,Volume No 19, pp 577-597.
  3. Antonio Fernandez-Caballero, M. T. (2012) "Display text segmentation after learning best-fitted OCR binarization parameters" Expert Systems with Applications, pp4032-4043.
  4. Barun Biswas, Ujjwal Bhattacharya and Bidyut B. Chaudhuri, "A global–to–local approach to binarization of degraded document images" 22nd international conference on pattern recognition, 2014.
  5. Gaceb, Djamel, Frank Lebourgeois, and Jean Duong. " Adaptative Smart-Binarization Method: For Images of Business Documents. " Document Analysis and Recognition (ICDAR-2013), 12th International Conference on IEEE, 2013.
  6. Bolan Su, Shijian Lu, and Chew Lim Tan, "Robust image binarization Technique for degraded document image" IEEE Trans. Image Process, Volume No 22, Issue No. 4, april 2013.
  7. J. Bernsen. , 1986, "Dynamic thresholding of gray-level images", Proc-International Conference on Pattern Recognition, pp. 1251-1255.
  8. Bency Jacob and Prof. S. B. Waykar (October 2014)' "A Survey On Binarization Of Historical Degraded Documents" in IJIFR- Volume No 22 and Issue No 4.
  9. S. Vishnupriya, P. Saranya, E. Elangovan, "A novel approach for document image binarization" International conference on advanced computing and communication system (ICACCS-2015), 2015.
  10. Kuljeet Singh, Gurinder Singh, "Remove noise from scanned handwritten de-graded document images using trends and technology (IJCST-2016), Volume No 4, Issue No 2, Mar-Apr 2016.
Index Terms

Computer Science
Information Sciences

Keywords

Binarization Local Thresholding Global Thresholding Document Image