Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Research on the Recognition of Paper Currency Number With Low Resolution

Authors
Xiwen Liu, Chaoying Liu
Corresponding Author
Xiwen Liu
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.149How to use a DOI?
Keywords
Serial number; Character extraction; Multi-level 2DPCA; Pattern recognition
Abstract
According to the characteristics that the paper currency image has low resolution and it is vulnerable to noise affect, the methods of paper serial number region extraction and segmentation are discussed, and multi-level 2DPCA algorithm is used for serial number recognition. Experiment results show that the methods proposed in this paper have the advantages of fast speed, high recognition accuracy and good anti-interference ability.
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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
DOI
https://doi.org/10.2991/icmmcce-15.2015.149How 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  - Xiwen Liu
AU  - Chaoying Liu
PY  - 2015/12
DA  - 2015/12
TI  - Research on the Recognition of Paper Currency Number With Low Resolution
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icmmcce-15.2015.149
DO  - https://doi.org/10.2991/icmmcce-15.2015.149
ID  - Liu2015/12
ER  -