Skip to main content

Global Skew Detection and Correction of Document Image Based on Least Square Method and Extensive Connected Component Analysis

  • Conference paper
  • First Online:
Innovations in Cyber Physical Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 788))

  • 1141 Accesses

Abstract

Document images can have numerous noises that should be filtered to eliminate those unutilized objects. Skewness is liable not to understand the texts clearly in the document image. A morphological technique is being conducted to preprocess the image. Connected component analysis along with the bounding box approach is introduced to figure out a line. A number of longest connected components are extracted from numerous illustrations. In order to detect a precise skewed angle, the least square method is applied to the logically selected regions to acquire the best fitting line. The skewed angle is discovered by averaging angles of best-fitting lines. The proposed system is already applied on the printed document image and got tremendous accuracy during execution.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Susanto R, Putri FP, Wiratama YW (2018) Skew detection based on vertical projection in latin character recognition of text document image. Int J Eng Technol 7(4.44):198–202

    Google Scholar 

  2. Boukharouba A (2017) A new algorithm for skew correction and baseline detection based on the randomized Hough Transform. J King Saud Univ-Comput Inf Sci 29(1):29–38

    Google Scholar 

  3. Ganai AF, Koul A (2016) Projection profile based ligature segmentation of Nastaleeq Urdu OCR. In: 2016 4th international symposium on computational and business intelligence (ISCBI). IEEE, pp 170–175

    Google Scholar 

  4. Rajput GG, Ummapure SB, Patil P (2016) Separation of touching or overlapping lines from handwritten document images using histogram and connected component analysis. Int J Comput Appl, Natl Conf Digit Image Signal Process 0975–8887

    Google Scholar 

  5. Kumar H, Shivakumara P (2007) Skew detection technique for binary document images based on hough transform. Int J Comput Inf Eng 1(8):2401–2407

    Google Scholar 

  6. Papandreou A, Gatos B (2011) A novel skew detection technique based on vertical projections. In: 2011 international conference on document analysis and recognition. IEEE, pp 384–388

    Google Scholar 

  7. Mascaro AA, Cavalcanti GD, Mello CA (2010) Fast and robust skew estimation of scanned documents through background area information. Pattern Recogn Lett 31(11):1403–1411

    Article  Google Scholar 

  8. Boudraa O, Hidouci WK, Michelucci D (2017) An improved skew angle detection and correction technique for historical scanned documents using morphological skeleton and progressive probabilistic Hough transform. In: 2017 5th international conference on electrical engineering-boumerdes (ICEE-B). IEEE, pp 1–6

    Google Scholar 

  9. Bafjaish SS, Azmi MS, Al-Mhiqani MN, Radzid AR, Mahdin H (2018) Skew detection and correction of Mushaf Al-Quran script using hough transform. Int J Adv Comput Sci Appl 9(8):402–409

    Google Scholar 

  10. Zhang Z, Zhang C, Shen W, Yao C, Liu W, Bai X (2016) Multi-oriented text detection with fully convolutional networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4159–4167

    Google Scholar 

  11. Mohammed SW, Soora NR (2018) Global skew detection and correction using morphological and statistical methods. In: Computational vision and bio inspired computing. Springer, Cham, pp 556–568

    Google Scholar 

  12. Singh RK, Panchal VK, Singh BK (2019) Analysis of GA performance on its various parameters for solving travelling salesman NP-hard problem. Int J Comput Sci Eng 7(1):509–512. ISSN:2347-2693(UGC-63193)

    Google Scholar 

  13. Singh RK, Panchal VK, Singh BK (2019) Analysis of the various population sizes in genetic algorithm for solving N-queen NP-hard problem. Int J Res Electron Comput Eng IJRECE 7(1):564–566. ISSN:2393-9028(Print)| ISSN:2348-2281(Online). (UGC-44816)

    Google Scholar 

  14. Singh BK, Luthra M (2019) MAHI as a Sketching Language. Int J Comput Sci Eng IJCSE 7(3):1102–1109. ISSN:2347-2693. (UGC-63193)

    Google Scholar 

  15. Joshi T, Badoni P, Choudhury T, Aggarwal A (2019) Modification of Weiler-atherton algorithm to address loose polygons. J Sci Ind Res 78:771–774

    Google Scholar 

  16. Kumar V, Choudhury T (2019) Real-time recognition of malignant skin lesions using ensemble modeling. J Sci Ind Res (JSIR) 78:148–153

    Google Scholar 

  17. Valy D, Verleysen M, Sok K (2016) Line segmentation approach for ancient palm leaf manuscripts using competitive learning algorithm. In: 2016 15th international conference on frontiers in handwriting recognition (ICFHR). IEEE, pp 108–113

    Google Scholar 

  18. Joshi A, Sabitha AS, Choudhury T (2018) Crime analysis using K-means clustering. In: Proceedings—2017 international conference on computational intelligence and networks, CINE 2017. https://doi.org/10.1109/CINE.2017.23

  19. Sharma D, Sai Sabitha A, Choudhury T (2019) Discovering the unknown patterns of crop production using clustering analysis. In: Advances in intelligent systems and computing, vol 841. https://doi.org/10.1007/978-981-13-2285-3_70

  20. Raj G, Sharma S, Choudhury T (2018) Load analysis in SDN for distributed topologies. In: Proceedings of the 2nd international conference on green computing and internet of things, ICGCIoT 2018. https://doi.org/10.1109/ICGCIoT.2018.8753099

  21. Mehra S, Choudhury T (2018) Sentiment analysis of user entered text. In: Proceedings of the international conference on computational techniques, electronics and mechanical systems, CTEMS 2018. https://doi.org/10.1109/CTEMS.2018.8769136

  22. Mittal V, Gupta S, Choudhury T (2018) Comparative analysis of authentication and access control protocols against malicious attacks in wireless sensor networks. In: Smart computing and informatics. Springer, Singapore, pp 255–262

    Google Scholar 

  23. Chauhan N, Agarwal R, Garg K, Choudhury T (2020) Redundant IAAS cloud selection with consideration of multi criteria decision analysis. Procedia Comput Sci 167:1325–1333

    Article  Google Scholar 

  24. Sadri J, Cheriet M (2009) A new approach for skew correction of documents based on particle swarm optimization. In: 2009 10th international conference on document analysis and recognition. IEEE, pp 1066–1070

    Google Scholar 

  25. Rehman A, Saba T (2011) Document skew estimation and correction: analysis of techniques, common problems and possible solutions. Appl Artif Intell 25(9):769–787

    Article  Google Scholar 

  26. Kumar D, Singh D (2012) Modified approach of hough transform for skew detection and correction in documented images. Int J Res Comput Sci 2(3):37

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Imran, F., Ali Hossain, M., Al Mamun, M., Singh, B.K., Choudhury, T. (2021). Global Skew Detection and Correction of Document Image Based on Least Square Method and Extensive Connected Component Analysis. In: Singh, J., Kumar, S., Choudhury, U. (eds) Innovations in Cyber Physical Systems. Lecture Notes in Electrical Engineering, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-16-4149-7_38

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-4149-7_38

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4148-0

  • Online ISBN: 978-981-16-4149-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics