An improved license plate characters binarization algorithm based on sub-pixel

DOI

10.2991/wartia-16.2016.325How to use a DOI?

Keywords

The limited smart phone battery and computational resources demand efficient and low-power consumption algorithms for the instantaneous heart rate detection using phone built-in camera. A phase detector based method is proposed to improve the performance of heart rate detection software using built-

Abstract

For the problem of traditional binarization algorithm can’t segmentation license plate adhesion or intermittent character effectively. This paper proposes a new binarization algorithm which use a curved surface fitting algorithm to get a new gray level image based on sub-pixel. Experiments show that it could widely combine with binarization algorithm and the algorithm can effectively maintain the topology of the license plate characters, and the edge of license plate characters is very smooth.

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/).

Download article (PDF)

TY  - CONF
AU  - Zhiyong Ju
AU  - Chaonan Wang
AU  - Xiaolei He
PY  - 2016/05
DA  - 2016/05
TI  - An improved license plate characters binarization algorithm based on sub-pixel
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1622
EP  - 1626
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.325
DO  - 10.2991/wartia-16.2016.325
ID  - Ju2016/05
ER  -