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Proceedings Paper

Restoring warped document image through segmentation and full page interpolation
Author(s): Yu Zhang; Changsong Liu; Xiaoqing Ding; Kongqiao Wang
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Paper Abstract

In camera-based optical character recognition (OCR) applications, warping is a primary problem. Warped document images should be restored before they are recognized by traditional OCR algorithm. This paper presents a novel restoration approach, which first makes an estimation of baseline and vertical direction estimation based on rough line and character segmentation, then selects several key points and determines their restoration mapping as a result of the estimation step, at last performs Thin-Plate Splines (TPS) interpolation on full page image using these key points mapping. The restored document image is expected to have straight baselines and erect character direction. This method can restore arbitrary local warping as well as keep the restoration result natural and smooth, consequently improves the performance of the OCR application. Experiments on several camera captured warped document images show effectiveness of this approach.

Paper Details

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470R (19 January 2009); doi: 10.1117/12.805424
Show Author Affiliations
Yu Zhang, Tsinghua Univ. (China)
Changsong Liu, Tsinghua Univ. (China)
Xiaoqing Ding, Tsinghua Univ. (China)
Kongqiao Wang, Nokia Research Ctr. (China)

Published in SPIE Proceedings Vol. 7247:
Document Recognition and Retrieval XVI
Kathrin Berkner; Laurence Likforman-Sulem, Editor(s)

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