Research on the Recognition of Paper Currency Number With Low Resolution

DOI

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.

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  - Xiwen Liu
AU  - Chaoying Liu
PY  - 2015/12
DA  - 2015/12
TI  - Research on the Recognition of Paper Currency Number With Low Resolution
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 740
EP  - 745
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.149
DO  - 10.2991/icmmcce-15.2015.149
ID  - Liu2015/12
ER  -