Research and Implementation of License Plate Character Recognition Technology Based on Neural Network

DOI

10.2991/snce-18.2018.115How to use a DOI?

Keywords

Plate recognition; Neural network; Character matching

Abstract

This paper studies the problem of character recognition in real time dynamic vehicle, and puts forward a new method to combine the improved neural network technology with the improved template matching method. Based on image boundary segmentation technology, based on vertical projection method, the character segmentation method is divided accurately, then the character recognition is realized by character network feature method, and the result is output character recognition. The experimental results show that the improved algorithm improves the real time of the system while ensuring the accuracy of license plate matching.

Copyright

© 2018, 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  - Chong Xu
AU  - Xin Liu
AU  - Wei Wang
AU  - Yong Shi
AU  - Ning Tao
PY  - 2018/05
DA  - 2018/05
TI  - Research and Implementation of License Plate Character Recognition Technology Based on Neural Network
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 565
EP  - 568
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.115
DO  - 10.2991/snce-18.2018.115
ID  - Xu2018/05
ER  -