A robust and flexible license plate detection method

This paper presents a new license plate detection method based on the Canny edge detection and Sauvola binarization combine with Connected Components Analysis (CCA) and edge dilation. The proposed method was tested with 944 images in many different weather conditions and many different sizes of plat...

Full description

Saved in:
Bibliographic Details
Published in2014 International Conference on Advanced Technologies for Communications (ATC 2014) pp. 326 - 331
Main Authors Thanh-Sach Le, Van-Nhan Tran, Hamamoto, Kazuhiko
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Accuracy
Canny edge detection
Cities and towns
Connected Component Analysis (CCA)
Educational institutions
Image edge detection
License plate detection
License Plate Recognition (LPR)
Licenses
Meteorology
Noise
Sauvola binarization method
Online AccessGet full text

Cover

More Information
Summary:This paper presents a new license plate detection method based on the Canny edge detection and Sauvola binarization combine with Connected Components Analysis (CCA) and edge dilation. The proposed method was tested with 944 images in many different weather conditions and many different sizes of plates with only one configuration for all. We also build a ground-truth for each images and base on this to measure O, E factor. If the O, E factor satisfied the condition we will have a right result and vice verse. The right result in process was 921 over 944 images (97.56%).
ISBN:1479969559
9781479969555
ISSN:2162-1020
2162-1039
DOI:10.1109/ATC.2014.7043406