NDLI: Document Image Dewarping Based on Line Estimation for Visually Impaired

Content Provider	IEEE Xplore Digital Library
Author	Kakumanu, P. Bourbakis, N. Black, J. Panchanathan, S.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH (Kakumanu, P.; Bourbakis, N.)
Abstract	In this paper, we present an image-text dewarping methodology based on robust estimation of text-lines. When a text-page is captured by a camera, it suffers both from the perspective distortions and the page curl. The non-linear distortion due to page-curl is inherently present, given the surface nature of the pages and the text-book. The state-of-the-art OCR systems have a very low performance on recognizing such distorted text. To remove both these distortions and to produce a flattened view of the text, we use the cues present in the image-text, i.e., the text-lines on the surface of the page are straight. The methodology requires only a single camera captured image and does not require any calibration or any other expensive hardware setups as in other methods. Experimental results on a set of documents show that the methodology produces visually pleasing output and also improves OCR accuracy
Starting Page	625
Ending Page	631
File Size	5114121
Page Count	7
File Format	PDF
ISBN	0769527280
ISSN	10823409
DOI	10.1109/ICTAI.2006.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nonlinear distortion Cameras Optical character recognition software State estimation Computer science Text recognition Hardware Streaming media Robustness Calibration Page-curl Dewarping and Assistive Devices Document Image Analysis Perspective Rectification
Content Type	Text
Resource Type	Article

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