Restoration Method of Distorted Digital Document Image Based on Text Line Detection

DOI

10.2991/asei-15.2015.148How to use a DOI?

Keywords

digital document image, distorting, restoration.

Abstract

More and more documents are scanned into digital image, meanwhile, the document scanned into digital image will appear the phenomenon of widespread distortions and shadows. Distortions in a variety of document images have an impact on people's reading comprehension or automated document image processing. In order to solve the problem, this paper uses image segmentation technology to detect text lines for getting lower baseline and upper baseline of the text. With the lower baseline and upper baseline we can adjust the distortion of the document image. So that the corrected image can be obtained. In the image pre-processing, sharpening is a pivotal step.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chong Shen
AU  - Lijing Tong
AU  - Jian Zhan
AU  - Zaiyin Zhang
PY  - 2015/05
DA  - 2015/05
TI  - Restoration Method of Distorted Digital Document Image Based on Text Line Detection
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 768
EP  - 771
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.148
DO  - 10.2991/asei-15.2015.148
ID  - Shen2015/05
ER  -