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Proceedings Paper

Warped document image correction method based on heterogeneous registration strategies
Author(s): Lijing Tong; Guoliang Zhan; Quanyao Peng; Yang Li; Yifan Li
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Paper Abstract

With the popularity of digital camera and the application requirement of digitalized document images, using digital cameras to digitalize document images has become an irresistible trend. However, the warping of the document surface impacts on the quality of the Optical Character Recognition (OCR) system seriously. To improve the warped document image’s vision quality and the OCR rate, this paper proposed a warped document image correction method based on heterogeneous registration strategies. This method mosaics two warped images of the same document from different viewpoints. Firstly, two feature points are selected from one image. Then the two feature points are registered in the other image base on heterogeneous registration strategies. At last, image mosaics are done for the two images, and the best mosaiced image is selected by OCR recognition results. As a result, for the best mosaiced image, the distortions are mostly removed and the OCR results are improved markedly. Experimental results show that the proposed method can resolve the issue of warped document image correction more effectively.

Paper Details

Date Published: 13 March 2013
PDF: 6 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 878308 (13 March 2013); doi: 10.1117/12.2011305
Show Author Affiliations
Lijing Tong, North China Univ. of Technology (China)
Guoliang Zhan, North China Univ. of Technology (China)
Quanyao Peng, North China Univ. of Technology (China)
Yang Li, North China Univ. of Technology (China)
Yifan Li, North China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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