A novel skew estimation approach using radon transform

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 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 languageEnglish
Title of host publicationProceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011
Pages1-4
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 - Malacca, Malaysia
Duration: 05-12-201108-12-2011

Conference

Conference2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011
CountryMalaysia
CityMalacca
Period05-12-1108-12-11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

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    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). [6122070] https://doi.org/10.1109/HIS.2011.6122070