A novel skew estimation approach using radon transform

Prakash K. Aithal; G. Rajesh; P. C. Siddalingaswamy; Dinesh U. Acharya

doi:10.1109/HIS.2011.6122070

A novel skew estimation approach using radon transform

Prakash K. Aithal^*, G. Rajesh, P. C. Siddalingaswamy, Dinesh U. Acharya

^*Corresponding author for this work

Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

Skew is the angle the image makes with the corner of the page. Skew estimation is a preprocessing step in document image analysis. It involves two steps skew detection and skew correction. Skew estimation is needed because while scanning the document image a little skew is unavoidable. If skew is present in the document then Optical Character Recognizer (OCR) will identify the script wrongly. In this paper an effective and reliable skew estimation technique using radon transform is proposed. Radon transform will take O(N ²M) time to execute for a document image of size N X N and with the skew of M. The proposed technique is tested on 150 document images with skew varying from 1 to 25 degrees. The accuracy of identification is 100% and average time of execution is 2.23seconds.

Original language	English
Title of host publication	Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011
Pages	1-4
Number of pages	4
DOIs	https://doi.org/10.1109/HIS.2011.6122070
Publication status	Published - 2011
Event	2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 - Malacca, Malaysia Duration: 05-12-2011 → 08-12-2011

Publication series

Name	Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011

Conference

Conference	2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011
Country/Territory	Malaysia
City	Malacca
Period	05-12-11 → 08-12-11

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Information Systems

Access to Document

10.1109/HIS.2011.6122070

Cite this

Aithal, P. K., Rajesh, G., Siddalingaswamy, P. C., & Acharya, D. U. (2011). A novel skew estimation approach using radon transform. In Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 (pp. 1-4). Article 6122070 (Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011). https://doi.org/10.1109/HIS.2011.6122070

@inproceedings{8144d04c7eb74cef8b7b33873dece7bd,

title = "A novel skew estimation approach using radon transform",

abstract = "Skew is the angle the image makes with the corner of the page. Skew estimation is a preprocessing step in document image analysis. It involves two steps skew detection and skew correction. Skew estimation is needed because while scanning the document image a little skew is unavoidable. If skew is present in the document then Optical Character Recognizer (OCR) will identify the script wrongly. In this paper an effective and reliable skew estimation technique using radon transform is proposed. Radon transform will take O(N 2M) time to execute for a document image of size N X N and with the skew of M. The proposed technique is tested on 150 document images with skew varying from 1 to 25 degrees. The accuracy of identification is 100% and average time of execution is 2.23seconds.",

author = "Aithal, {Prakash K.} and G. Rajesh and Siddalingaswamy, {P. C.} and Acharya, {Dinesh U.}",

year = "2011",

doi = "10.1109/HIS.2011.6122070",

language = "English",

isbn = "9781457721502",

series = "Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011",

pages = "1--4",

booktitle = "Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011",

note = "2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 ; Conference date: 05-12-2011 Through 08-12-2011",

}

Aithal, PK , Rajesh, G , Siddalingaswamy, PC & Acharya, DU 2011, A novel skew estimation approach using radon transform. in Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011., 6122070, Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011, pp. 1-4, 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011, Malacca, Malaysia, 05-12-11. https://doi.org/10.1109/HIS.2011.6122070

A novel skew estimation approach using radon transform. / Aithal, Prakash K.; Rajesh, G.; Siddalingaswamy, P. C. et al.
Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011. 2011. p. 1-4 6122070 (Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - A novel skew estimation approach using radon transform

AU - Aithal, Prakash K.

AU - Rajesh, G.

AU - Siddalingaswamy, P. C.

AU - Acharya, Dinesh U.

PY - 2011

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N2 - Skew is the angle the image makes with the corner of the page. Skew estimation is a preprocessing step in document image analysis. It involves two steps skew detection and skew correction. Skew estimation is needed because while scanning the document image a little skew is unavoidable. If skew is present in the document then Optical Character Recognizer (OCR) will identify the script wrongly. In this paper an effective and reliable skew estimation technique using radon transform is proposed. Radon transform will take O(N 2M) time to execute for a document image of size N X N and with the skew of M. The proposed technique is tested on 150 document images with skew varying from 1 to 25 degrees. The accuracy of identification is 100% and average time of execution is 2.23seconds.

AB - Skew is the angle the image makes with the corner of the page. Skew estimation is a preprocessing step in document image analysis. It involves two steps skew detection and skew correction. Skew estimation is needed because while scanning the document image a little skew is unavoidable. If skew is present in the document then Optical Character Recognizer (OCR) will identify the script wrongly. In this paper an effective and reliable skew estimation technique using radon transform is proposed. Radon transform will take O(N 2M) time to execute for a document image of size N X N and with the skew of M. The proposed technique is tested on 150 document images with skew varying from 1 to 25 degrees. The accuracy of identification is 100% and average time of execution is 2.23seconds.

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A novel skew estimation approach using radon transform

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