Author:
Shen Siyuan,Wang Lidan,Duan Shukai,He Xin
Abstract
Abstract
An intelligent car plate detection method can make the travel more convenient and efficient. However, traditional methods are reasonably effective under the specific circumstances or strong assumptions only, and there are few databases for car plate detection. Therefore, a novel real-time car plate detection method based on improved Yolov3 has been proposed. In order to select the more precise number of candidate anchor boxed and aspect ratio dimensions, the K-Means algorithm is utilized. To solve the short of the available car plate database, a car plate database which has 6668 pictures has been established. As shown in the experimental results, the method which is proposed by this paper is better than original Yolov3. Thanks to the car plate database, the proposed method obtained better results even in the situation of inclination, too bright or too dark, different weather and so on.
Subject
General Physics and Astronomy
Reference32 articles.
1. Vehicle number plate detection system for indian vehicles;Karwal,2015
2. A novel approach for detecting number plate based on overlapping window and region clustering for Indian conditions;Patel;International Journal of Image, Graphics and Signal Processing,2015
3. A memetic-based fuzzy support vector machine model and its application to license plate recognition;Samma;Memetic computing,2016
4. Detection and tracking strategy for license plate detection in video;Wang;Optik-International Journal for Light and Electron Optics,2014
5. License plate location based on adaboost;Zhang,2010
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献