License Plate Detection Methods Based on OpenCV

被引：3

作者：

Xu, Lin ^{[1
]}

Shang, Wenqian ^{[1
]}

Lin, Weiguo ^{[1
]}

Huang, Wei ^{[1
]}

机构：

[1] Commun Univ China, Sch Comp Sci & Cybersecur, Beijing, Peoples R China

来源：

2021 21ST ACIS INTERNATIONAL WINTER CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD-WINTER 2021) | 2021年

基金：

国家重点研发计划;

关键词：

Intelligent Transportation System; License Plate Detection; Edge Detection; Morphological Gradient Detection; RECOGNITION ALGORITHM; GRADIENT;

D O I：

10.1109/SNPDWinter52325.2021.00012

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the popularization of automobile and the progress of computer vision detection technology, intelligent license plate detection technology has gradually become an important part of intelligent traffic management.License plate detection is used to segment vehicle image and obtain license plate area for follow-up recognition system to screen. It is widely used in intelligent traffic management, vehicle video monitoring and other fields.In this paper, two license plate detection methods are studied, one is based on Sobel edge detection and the other is based on morphological gradient detection.Basing on OpenCV and visual studio 2012 under Windows system, two methods of license plate detection are implemented, and the two algorithms are compared in detail from the aspects of license plate detection accuracy.These methods have high efficiency and good interactivity, which provide a reference for later license plate recognition.

引用

页码：11 / 16

页数：6

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