Volume 8 Number 5 (May 2013)
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JSW 2013 Vol.8(5): 1162-1167 ISSN: 1796-217X
doi: 10.4304/jsw.8.5.1162-1167

Fast Restoration of Warped Document Image based on Text Rectangle Area Segmentation

Kuo-Hsien Hsia1, Shao-Fan Lien2, Juhng-Perng Su3
1Department of Computer Science and Information Engineering, Far East University, Tainan, Taiwan(R.O.C.)
2Graduate School of Engineering Science & Technology (Doctoral Program), National Yunlin University of Science & Technology, Yunlin, Taiwan(R.O.C.)
3Department of Electrical Engineering, National Yunlin University of Science & Technology, Yunlin, Taiwan(R.O.C.)

Abstract—The warp problems usually make the documents being hardly recognized. Specifically, when we copy a page of a thick book or bound document by digital photocopier, the resulted image is usually warped because of the thickness of the document. We focus on this problem and propose a fast method to restore the warped document image in this paper. The text rectangle area of the document is one of the features of a document. The morphological operation is utilized for text rectangle area segmentation. The DLT method is used to compute the mapping relations between the warped document and the non-warped document. In experimental results, the proposed method works on high resolution image very quickly. The warping text and the figures in documents have been restored by the proposed method successfully. This method is efficiency and fast for implementing on the module of digital photocopier.

Index Terms—Warped document; image process; DLT method; text rectangle area segmentation.


Cite: Kuo-Hsien Hsia, Shao-Fan Lien, Juhng-Perng Su, "Fast Restoration of Warped Document Image based on Text Rectangle Area Segmentation," Journal of Software vol. 8, no. 5, pp. 1162-1167, 2013.

General Information

ISSN: 1796-217X
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jsw@iap.org
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