Title :
A robust and flexible license plate detection method
Author :
Thanh-Sach Le ; Van-Nhan Tran ; Hamamoto, Kazuhiko
Author_Institution :
Ho Chi Minh City Univ. of Technol., Ho Chi Minh City, Vietnam
Abstract :
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%).
Keywords :
edge detection; CCA; Canny edge detection; E factor; O factor; Sauvola binarization; connected components analysis; edge dilation; license plate detection method; Accuracy; Cities and towns; Educational institutions; Image edge detection; Licenses; Meteorology; Noise; Canny edge detection; Connected Component Analysis (CCA); License Plate Recognition (LPR); License plate detection; Sauvola binarization method;
Conference_Titel :
Advanced Technologies for Communications (ATC), 2014 International Conference on
Print_ISBN :
978-1-4799-6955-5
DOI :
10.1109/ATC.2014.7043406
