Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDAR.2005.8
Title: A fast and stable approach for restoration of warped document images
Authors: Chua, K.B.
Zhang, L. 
Zhang, Y. 
Tan, C.L. 
Issue Date: 2005
Source: Chua, K.B., Zhang, L., Zhang, Y., Tan, C.L. (2005). A fast and stable approach for restoration of warped document images. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2005 : 384-388. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDAR.2005.8
Abstract: We present a framework for acquiring and restoring images of warped documents to their original planar shapes. Image capturing of warped documents often results in warped images. Most digital restoration approaches make use of 3D image processing methods which are dependent on the content of the images. Some recent work attempts to remove this constraint by working directly on the 3D shape of the warped documents. In our framework, we will improve on this recent approach to make it more efficient and stable. First we capture the warped surface representation through a set of active lighting from a laser range scanner onto the document surface. This gives us an accurate 3D representation of the document shape. Next by using a stick constraint and a stable numerical integrator, we can digitally flatten the 3D model to a planar shape. This simple approach avoids potential instability problem and is fast. Restoration results for a few types of warped documents are demonstrated and a significant improvement over the original images can be observed. © 2005 IEEE.
Source Title: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
URI: http://scholarbank.nus.edu.sg/handle/10635/43242
ISBN: 0769524206
ISSN: 15205363
DOI: 10.1109/ICDAR.2005.8
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

16
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

1
checked on Nov 20, 2017

Page view(s)

60
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.