By Topic

A new moments based skew estimation technique using pixels in the word for binary document images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Shivakumara, P. ; A.P.S. Coll., Karnataka, India ; Kumar, G.H. ; Varsha, H.S. ; Rekha, S.
more authors

Accurate skew angle estimation is an essential component in document analysis system to enhance the performance of the optical character recognition (OCR). In this paper, a new and efficient moments based method to estimate skew angle of a pixels in the word in the scanned document image is proposed. The proposed technique has two stages. In the first stage, using boundary-growing method, pixels in the words of skewed text are extracted. The pixels in the words extracted are given as input to moments based method. It results in a skew angle in the second stage. Extensive experiments have been conducted on various types of documents such as documents containing different languages and different fonts to reveal the robustness of the proposed method. Comparative studies with the well-known methods are presented to show that the proposed method is superior in terms of accuracy and computational efficiency.

Published in:

Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on

Date of Conference:

29 Aug.-1 Sept. 2005