By Topic

Curved paper rectification for digital camera document images by shape from parallel geodesics using continuous dynamic programming

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)
Fujimoto, K. ; Fujitsu Labs. Ltd, Kawasaki ; Jun Sun ; Takebe, H. ; Suwa, M.
more authors

Methods to rectify distortion of digital camera document images of curved papers have become important for camera-based image recognition. In this paper we propose a novel distortion rectification method based on "shape from parallel geodesies." This method considers the following features: parallel lines corresponding to character strings or ruled lines of tables on extended surface become parallel geodesies on a curved paper surface and a smoothly curved paper can be modeled by a ruled surface, that is, a sweep surface of rulings. The projected geodesies and the projected rulings exist in the input image derived from perspective transformation. The presented method extracts the projected geodesies, estimates the projected rulings in the input image, estimates the ruled surface that models the curved paper, and generates the corrected image, in this order. It can estimate the ruled surface model directly by numerical operations of differentiation, integration and matrix inversion without any iterative calculation. We also report on experiments that show the effectiveness of the proposed method.

Published in:

Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on  (Volume:1 )

Date of Conference:

23-26 Sept. 2007