NDLI: Restoring Chinese documents images based on text boundary lines

Content Provider	IEEE Xplore Digital Library
Author	Hong Liu Runwei Ding
Copyright Year	2009
Description	Author affiliation: Key Laboratory of Integrated Microsystem, Key Laboratory of Machine Perception and Intelligence, Shenzhen Graduate School, Peking University, China (Runwei Ding) \|\| Key Laboratory of Machine Perception and Intelligence, Key Laboratory of Integrated Microsystem, Shenzhen Graduate School, Peking University, China (Hong Liu)
Abstract	Distortion always appears in document images while scanning thick bound volumes. There are two kinds of distortion for the scanned grayscale images, shadow appears at the volumes' spine area, and warping of the words occurs in the shadow. In this paper, a novel text boundary lines based method for efficient restoration of warped scanning Chinese document images is presented. We first detect on which side of an image the shadow lays by row grayscale analysis method. Then the shadow is removed by a modified Niblack's algorithm. In order to detect the warped feature, a text boundary lines' detection method is proposed. Finally, an adjustment method based on the text boundary lines is carried to restore the warped words. Experiments on 400 various scanning Chinese document images are implemented. The improvement on average character recall is 11.92% to 14.89%. Experiments show that the proposed restoration method is efficient for Chinese documents with both text and non-text regions.
Starting Page	571
Ending Page	576
File Size	679592
Page Count	6
File Format	PDF
ISBN	9781424427932
ISSN	1062922X
DOI	10.1109/ICSMC.2009.5346660
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration Surface reconstruction Laboratories Image reconstruction Image processing Books Machine intelligence Gray-scale Computer vision Shape restoration distortion text bounary lines warped document images
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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