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Proceedings Paper

Fast frequency domain method to detect skew in a document image
Author(s): Sunita Mehta; Ekta Walia; Maitreyee Dutta
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Paper Abstract

In this paper, a new fast frequency domain method based on Discrete Wavelet Transform and Fast Fourier Transform has been implemented for the determination of the skew angle in a document image. Firstly, image size reduction is done by using two-dimensional Discrete Wavelet Transform and then skew angle is computed using Fast Fourier Transform. Skew angle error is almost negligible. The proposed method is experimented using a large number of documents having skew between -90° and +90° and results are compared with Moments with Discrete Wavelet Transform method and other commonly used existing methods. It has been determined that this method works more efficiently than the existing methods. Also, it works with typed, picture documents having different fonts and resolutions. It overcomes the drawback of the recently proposed method of Moments with Discrete Wavelet Transform that does not work with picture documents.

Paper Details

Date Published: 9 December 2015
PDF: 7 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170T (9 December 2015); doi: 10.1117/12.2228403
Show Author Affiliations
Sunita Mehta, CCET (India)
Ekta Walia, Univ. of Saskatchewan (Canada)
Maitreyee Dutta, NITTTR (India)

Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)

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