Threshold and binarization for document image analysis using otsu’s Algorithm

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2014 by IJCTT Journal
Volume-17 Number-5
Year of Publication : 2014
Authors : Dr. Neeraj Bhargava, Anchal kumawat, Dr. Ritu Bhargava
DOI :  10.14445/22312803/IJCTT-V17P150

MLA

Dr. Neeraj Bhargava, Anchal kumawat, Dr. Ritu Bhargava "Threshold and binarization for document image analysis using otsu’s Algorithm ". International Journal of Computer Trends and Technology (IJCTT) V17(5):272-275, Nov 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
This paper deal with a Binarization of image using a global threshold. Otsu calculates a global threshold by accepting the existence of two classes, foreground and background pixels, and choose the threshold that minimizes the interclass variance of the threshold black and white pixels. Converting a gray scale image to binarize is a common image processing task. In this paper, image processing methods are presented for automatically finding the optimum global threshold value.

References
[1] T. Romen Singh, Sudipta Roy and O. Imocha Singh, “A New Local Adaptive Thresholding Technique in Binarization”, Department of Information Technology, School of Technology, Assam University,Silchar – 788011, Assam, India.
[2] Nobuyuki Otsu, “A Threshold Selection Method from Gray-Level Histogram”.
[3] Meng-Ling Feng and Yap-PengTan,“AdaptiveBinarization Method for Document Image Analysis”, 2004 IEEE International Conference on Multimedia and Expo, School of Electrical and Electronic EngineeringNanyang Technological University, Singapore
[4] PavlosStathis, ErginaKavallierataou and Nikos Papamarkos, “An Evaluation Technique for BinarizationAlgorithms”,Journal of Universal Computer Science, vol. 14, no. 18 (2008), 3011-3030submitted: 1/3/08, accepted: 29/9/08, appeared: 1/10/08 © J.UCS

Keywords
Binarization, otsu, gray scale image, intensity histogram, global threshold.