Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Complex NSST in Text Localization

Authors
Jiu-Wen Zhang, Lu Zhang, Chun-Hui Liu, Min Dong
Corresponding Author
Jiu-Wen Zhang
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.80How to use a DOI?
Keywords
text localization; complex wavelet transform; NSST; projection; relative phase
Abstract
Text localization is a crucial course for image processing. In this paper, an algorithm for text localization based on Complex Nonsubsampled Shearlet transform (NSST) is proposed. Complex NSST is implemented by a projection followed NSST. The Projection operation converts the input image into its analytic one, and NSST composes the real component and imaginary component into multiscale and multidirectional subbands. The obtained relative phase and magnitudes are combined to get the new subbands. Then Dynamic thresholding, Morphological operations, logical AND operation, Voting-decision and Vertical and Horizontal Projections are used on the new subbands to achieve the final text regions. Compared with common wavelet transform, the complex wavelet transform has the properties of shift invariance, limited redundancy and low aliasing. At the same time, the added phase information delivers more accurate representation for image. Experiments show that the algorithm can accurately locates the text regions in an image.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
DOI
https://doi.org/10.2991/ceis-16.2016.80How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiu-Wen Zhang
AU  - Lu Zhang
AU  - Chun-Hui Liu
AU  - Min Dong
PY  - 2016/11
DA  - 2016/11
TI  - Complex NSST in Text Localization
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ceis-16.2016.80
DO  - https://doi.org/10.2991/ceis-16.2016.80
ID  - Zhang2016/11
ER  -