Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Application of Geometry Rectification to Deformed Characters Recognition

Authors
Liqun Wang, Honghui Fan
Corresponding Author
Liqun Wang
Available Online April 2016.
DOI
10.2991/emim-16.2016.222How to use a DOI?
Keywords
Deformed characters; Character recognition; Geometry rectification; Machine vision
Abstract

Due to the complexity of text deformation, it brings great difficulties to the character recognition. In this paper, we propose an algorithm based on geometry rectification to identify the deformed characters, which improves the accuracy and recall rate of text recognition. In this method, the deformed character is rectified within a circle using the moments of deformed character, and then it can be recognized in real time by comparing the similarity of distance histogram and angle histogram. Experimental results show that the method based on affine invariant can recognize the English characters and numbers with a very high recognition rate.

Copyright
© 2016, 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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Volume Title
Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
10.2991/emim-16.2016.222
ISSN
2352-538X
DOI
10.2991/emim-16.2016.222How to use a DOI?
Copyright
© 2016, 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  - Liqun Wang
AU  - Honghui Fan
PY  - 2016/04
DA  - 2016/04
TI  - Application of Geometry Rectification to Deformed Characters Recognition
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 1083
EP  - 1088
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.222
DO  - 10.2991/emim-16.2016.222
ID  - Wang2016/04
ER  -