IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Improved Document Image Binarization using Hybrid Thresholding Method


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International Journal for Innovative Research in Science & Technology
Volume 3 Issue - 1
Year of Publication : 2016
Authors : Neha ; Er. Deepak

BibTeX:

@article{IJIRSTV3I1163,
     title={Improved Document Image Binarization using Hybrid Thresholding Method},
     author={Neha and Er. Deepak},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={301--303},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1163.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abstract:

Document Image Binarization is performed in the pre-processing stage for document analysis and it aims to segment the foreground text from the document background. Thresholding is found as well-known technique for binarization of image. Thresholding methods can be categorized into two groups as global thresholding and local (adaptive) thresholding methods. The main objective of this paper is to use adaptive thresholding method and compare existing system with proposed system.

Keywords:

Documents, Binarization, thresholding, binary image
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