The Research on Image Extraction and Segmentation Algorithm in License Plate Recognition

DOI

10.2991/itoec-15.2015.3How to use a DOI?

Keywords

License Plate Recognition; Binarization; Image Segmentation; Segmentation Algorithm

Abstract

As a vital part of Intelligent Transportation System, License Plates Recognition System is meaningful in Vehicle Positioning and Traffic Monitoring. It consists of Vehicle License Plate Location, Character Segmentation and Character Recognition. In the paper we put forward a new method of segmentation algorithm on the basis of comparison and analysis some common methods of License Plate Recognition, which firstly chooses the self-adaptive thresholds for license images and executes the binarization; then arranges with projection Method and fixed-edge methods on the basis of connected-area methods. The experiment’s result shows this new method has better recognition performance.

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/).

Download article (PDF)

TY  - CONF
AU  - Weijian Fang
AU  - Xin Zhou
PY  - 2015/03
DA  - 2015/03
TI  - The Research on Image Extraction and Segmentation Algorithm in License Plate Recognition
BT  - Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference
PB  - Atlantis Press
SP  - 12
EP  - 16
SN  - 2352-538X
UR  - https://doi.org/10.2991/itoec-15.2015.3
DO  - 10.2991/itoec-15.2015.3
ID  - Fang2015/03
ER  -