By Topic

Document Image Registration Based on Geometric Invariant and Contour Matching

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

4 Author(s)
Yuanping Zhu ; Chinese Acad. of Sci., Tsinghua ; Ruwei Dai ; Baihua Xiao ; Chunheng Wang

Registration method based on geometric invariant is efficient and accurate. However, it usually finds many legal but conflict transformations and determining registration transformation by geometric invariant error is not reliable. To enforce its robust in more general environments, this paper proposes a novel document image registration method based on geometric invariant and contour matching. Geometric invariant is used to find candidate transformations. The final registration transformation is determined through contour matching of two images. Experiments indicate its performance improvement.

Published in:

Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on  (Volume:3 )

Date of Conference:

13-15 Dec. 2007