[1]李虎月,郝鹏飞,廖云霞,等.车牌检测与识别系统设计[J].计算机技术与发展,2020,30(07):150-153.[doi:10. 3969 / j. issn. 1673-629X. 2020. 07. 032]
　LI Hu-yue,HAO Peng-fei,LIAO Yun-xia,et al.Design of License Plate Detection and Recognition System[J].,2020,30(07):150-153.[doi:10. 3969 / j. issn. 1673-629X. 2020. 07. 032]
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车牌检测与识别系统设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年07期
页码:
150-153
栏目:
应用开发研究
出版日期:
2020-07-10

文章信息/Info

Title:
Design of License Plate Detection and Recognition System
文章编号:
1673-629X(2020)07-0150-04
作者:
李虎月; 郝鹏飞; 廖云霞; 刘 靖; 张顺伟; 刘立群*
甘肃农业大学 信息科学技术学院,甘肃 兰州 730070
Author(s):
LI Hu-yue; HAO Peng-fei; LIAO Yun-xia; LIU Jing; ZHANG Shun-wei; LIU Li-qun*
School of Information Science and Technology,Gansu Agricultural University,Lanzhou 730070,China
关键词:
MATLAB; 自然场景; 交互:图像; 检测与识别
Keywords:
MATLAB; natural scene; interaction; image; detection and recognition
分类号:
TP368. 1
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 07. 032
摘要:
随着社会和人们生活水平的提高,驾车出行成为了人们最为便捷的交通方式,几乎大多数人都拥有自己的家用车,随着车流量的快速上升,城市交通变得越来越拥挤。 这便造成了城市停车拥堵,特别是在发达城市,停车困难成为急待解决的问题。 因此,促进了国内有关停车技术的快速发展和成长,这也促使了车牌检测实质的研究和探索。 在新技术中运用知识,简单设计了车牌检测与识别系统。 系统利用 MATLAB GUI 设计实现集成交互界面,对日间自然场景下拍摄的甘肃省兰州市车牌进行检测并识别。 系统实现了对定位车牌彩色图像处理、车牌灰度图像处理、车牌切割处理以及车牌识别处理等四大功能模块设计。 设计结果表明,该系统对平常环境下拍摄的车牌识别效果良好,达到了预期效果。
Abstract:
With the improvement of society and people’s living standard,driving has become the most convenient way of transportation for people. Almost most people have their own family cars. With the rapid rise of traffic flow,urban traffic is getting more and more crowded. This has caused urban parking congestion,especially in developed cities,parking difficulties become an urgent problem to be solved. Therefore, it promotes the rapid development and growth of many domestic parking technologies, which also promotes the research and exploration of license plate detection. With the knowledge in the new technology,we develop the license plate detection and recognition system simply. The MATLAB GUI in this system is used to design and realize the integrated interactive interface for detection and identification of the license plate taken in the daytime natural scene of Lanzhou city of Gansu Province. The system realizes four functional modules,which are color image processing,gray image processing,license plate cutting processing and license plate recognition processing,etc. The design results show that it has an ideal recognition effect on the license plate taken in the usual environment and achieves the desired results.

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更新日期/Last Update: 2020-07-10