Restoration Method of Distorted Digital Document Image Based on Text Line Detection
Authors
Chong Shen, Lijing Tong, Jian Zhan, Zaiyin Zhang
Corresponding Author
Chong Shen
Available Online May 2015.
- 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/).
Cite this article
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 -