By Topic

Straightening warped text lines using polynomial regression

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

2 Author(s)
Zheng Zhang ; Sch. of Comput., Nat. Univ. of Singapore, Singapore ; Tan, C.L.

Perspective distortion always occurs while scanning thick, bound documents, resulting in two problems in the scanned grayscale image: (i) shadow along the 'spine' of the book; (ii) warping of words in the shadow area. In our previous paper, we proposed a restoration system to solve these two problems (see Zheng Zhang and Chew Lim Tan, Int. Conf. on Image Proc., p.1074-7, 2001). However the shape of the warped words was not fully restored, since we simply shifted and rotated the warped word. We now propose a better method to straighten a warped text line using polynomial regression. The implementation results comparing with those of the old system show a marked improvement in the restoration of the image.

Published in:

Image Processing. 2002. Proceedings. 2002 International Conference on  (Volume:3 )

Date of Conference:

24-28 June 2002