Open Access   Article Go Back

Skew Detection and Correction in Text Document Image using Projection Profile Technique

Rubani 1 , Jyoti Rani2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 986-990, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.986990

Online published on Jul 31, 2018

Copyright © Rubani, Jyoti Rani . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Rubani, Jyoti Rani, “Skew Detection and Correction in Text Document Image using Projection Profile Technique,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.986-990, 2018.

MLA Style Citation: Rubani, Jyoti Rani "Skew Detection and Correction in Text Document Image using Projection Profile Technique." International Journal of Computer Sciences and Engineering 6.7 (2018): 986-990.

APA Style Citation: Rubani, Jyoti Rani, (2018). Skew Detection and Correction in Text Document Image using Projection Profile Technique. International Journal of Computer Sciences and Engineering, 6(7), 986-990.

BibTex Style Citation:
@article{Rani_2018,
author = { Rubani, Jyoti Rani},
title = {Skew Detection and Correction in Text Document Image using Projection Profile Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {986-990},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2547},
doi = {https://doi.org/10.26438/ijcse/v6i7.986990}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.986990}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2547
TI - Skew Detection and Correction in Text Document Image using Projection Profile Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Rubani, Jyoti Rani
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 986-990
IS - 7
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
474 344 downloads 204 downloads
  
  
           

Abstract

The detection and correction of document skew is one in all the foremost vital document image analysis steps. Projection profiles have a few applications in record picture process and that they consider flat and vertical lines being adjusted to the tomahawks. The proposed system works in two phases. In the first phase system find the skewed angle from the input text document and in the second phase system correct the sleekness in the given document on line by line basis. At the last every line output line is combined to obtain the final output. The proposed system is experimented on approx 30 text documents for testing. The accuracy of algorithm is around 97%.

Key-Words / Index Term

Skew Detection, Skew Correction, Profile Projection Technique

References

[1] Darko Brodić & Zoran N. Milivojević 2016 Text Skew Detection Using Combined Entropy Algorithm, ITC-Journal of Information Technology And Control, 46: PP 308-318.
[2] A. Papandreou, B. Gatos, G. Louloudis and N. Stamatopoulos 2013 Document Image Skew Estimation Contest, ICDAR-Published in the 12th International Conference on Document Analysis and Recognition, PP 1444-1448.
[3] B. Aditya Vighnesh,Abhishek Kumar,Abhishek Kumar 2013 Skew Detection in Handwritten Documents IJCA- International Journal of Computer Applications, 69:PP 17-18
[4] Bishakha jain, Mrinaljit Borah 2014 A Comparison Paper on Skew Detection of Scanned Document Images Based on Horizontal and Vertical Projection Profile Analysis, IJSRP-International Journal of Scientific and Research Publications 4: PP 1-4.
[5] Danil Korchagin 2012 Automatic Time Skew Detection and Correction, IJCEE- International Journal of Computer and Electrical Engineering , 4: PP 684-687.
[6] Deepak Kumar, Dalwinder Singh 2012 A Review of Scanned Document Skew Detection and Correction Techniques, IJCST-International Journal of Computer Science Trends and Technology, 3: PP 251-254
[7] Jinal Patel,Anup Shah,Dr. Hatal Patel 2015 Skew Angle Detection and Correction using Randon Transform, IJEECS-International Journal of Electronics, Electrical and Computational System, 4: PP 1-6
[8] Jung Gap Kuk,Nam Ik Cho 2009 Feature Based Binarization of Document Images Degraded by Uneven Light Condition, IEEE-Published in 10th International Conference on Document Analysis and Recognition, PP 1-5
[9] Lipi Shah, Ripal Patel, Shreyal Patel, Jay Maniar 2014 Skew Detection and Correction for Gujarati Printed and Handwritten Character using Linear Regression, IJARCSSE- International Journal of Advanced Research in Computer Science and Software Engineering, 4: PP 642-648
[10] Loveleen Kaur, Simpel Jindal 2011 Skew Detection Technique for Various Scripts, IJSER-International Journal of Scientific & Engineering Research 2: PP 1-3
[11] Mandip Kaur, Simpel Jindal 2013 An Integrated Skew Detection and Correction Using Fast Fourier Transform and DCT, IJSTR-International Journal Of Scientific & Technology Research 2: PP 164-169
[12] Mamatha Hosalli Ramappa and Srikantamurthy Krishnamurthy 2012 Skew Detection, Correction and Segmentation of Handwritten Kannada Document, IJAST-International Journal of Advanced Science and Technology 48: PP 71-88