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Content Provider | IEEE Xplore Digital Library |
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Author | Zhang, L. Tan, C.L. |
Copyright Year | 2005 |
Description | Author affiliation: Sch. of Comput., Nat. Univ. of Singapore, Singapore (Zhang, L.; Tan, C.L.) |
Abstract | Recently, high resolution digital cameras have made the digitization process more flexible and convenient than traditional scanning technology. Therefore, document image analysis techniques need to be extended to handle images captured using ordinary hand-held cameras under an uncontrolled environment. In this paper, we propose an image restoration technique that corrects various warping distortions such as rolling curl, binding curl and fold distortions in camera images of geometrically distorted documents. Our goal is to restore these arbitrarily warped document images to a planar shape so as to facilitate OCR. Our method uses spline interpolation technique based on a ruled surface model constructed from text lines in the 2D document image. Comparisons on OCR performance using Microsoft imaging software with two existing methods show an encouraging improvement in terms of recall and precision. The OCR precision on the corrected images using our method is improved up to 21.8% comparing to original images with a resolution of 3 mega pixels. |
Starting Page | 192 |
Ending Page | 196 |
File Size | 4436154 |
Page Count | 5 |
File Format | |
ISBN | 0769524206 |
ISSN | 15205263 |
DOI | 10.1109/ICDAR.2005.252 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-08-31 |
Publisher Place | South Korea |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image restoration Software libraries Optical character recognition software Digital cameras Text analysis Image analysis Shape Spline Interpolation Software performance |
Content Type | Text |
Resource Type | Article |
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