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A Review of Document Image Binarization Techniques

Pritpal Singh1 , Balwinder Singh2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 746-749, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.746749

Online published on Jun 30, 2019

Copyright © Pritpal Singh, Balwinder Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Pritpal Singh, Balwinder Singh, “A Review of Document Image Binarization Techniques,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.746-749, 2019.

MLA Style Citation: Pritpal Singh, Balwinder Singh "A Review of Document Image Binarization Techniques." International Journal of Computer Sciences and Engineering 7.6 (2019): 746-749.

APA Style Citation: Pritpal Singh, Balwinder Singh, (2019). A Review of Document Image Binarization Techniques. International Journal of Computer Sciences and Engineering, 7(6), 746-749.

BibTex Style Citation:
@article{Singh_2019,
author = {Pritpal Singh, Balwinder Singh},
title = {A Review of Document Image Binarization Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {746-749},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4624},
doi = {https://doi.org/10.26438/ijcse/v7i6.746749}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.746749}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4624
TI - A Review of Document Image Binarization Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Pritpal Singh, Balwinder Singh
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 746-749
IS - 6
VL - 7
SN - 2347-2693
ER -

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Abstract

Binarization is very important pre-processing technique for document images which is used to segment the image into foreground and background pixels. Binarization of degraded documents is very challenging due to uneven background, noise, ink dots, degradation of paper ink due to aging etc. Although many binarization techniques are available, but these standard algorithms are sensitive to noise and do not produce good results on different kinds of degradations. The selection of binarization method for a particular degradation is a very tedious job. In this paper, a survey of recent ongoing research efforts in field of image binarization has been carried out. The purpose of this study is to find the research gap in the field of document image binarization.

Key-Words / Index Term

Binarization, Degraded documents, Thresholding, OCR, Document images

References

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