Path Searching Based Crease Detection for Large Scale Scanned Document Images

Path Searching Based Crease Detection for Large Scale Scanned Document Images Since the large size documents are usually folded for preservation, creases will occur in the scanned images. In this paper, a crease detection method is proposed to locate the crease pixels for further processing. According to the imaging process of contactless scanners, the shading on both sides of the crease usually varies a lot. Based on this observation, a convex hull based algorithm is adopted to extract the shading information of the scanned image. Then, the possible crease path can be achieved by applying the vertical filter and morphological operations on the shading image. Finally, the accurate crease is detected via Dijkstra path searching. Experimental results on the dataset of real scanned newspapers demonstrate that the proposed method can obtain accurate locations of the creases in the large size document images. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sensing and Imaging: An International Journal Springer Journals

Path Searching Based Crease Detection for Large Scale Scanned Document Images

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Electrical Engineering; Microwaves, RF and Optical Engineering; Imaging / Radiology
ISSN
1557-2064
eISSN
1557-2072
D.O.I.
10.1007/s11220-017-0176-5
Publisher site
See Article on Publisher Site

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