|本期目录/Table of Contents|

[1]刘年生,张家豪.基于Haar特征的中文车牌识别系统[J].集美大学学报(自然科学版),2019,24(2):139-144.
　LIU Niansheng,ZHANG Jiahao.Chinese License Plate Recognition System Based on Haar Features[J].Journal of Jimei University,2019,24(2):139-144.
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基于Haar特征的中文车牌识别系统(PDF)
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第24卷
期数:
2019年第2期
页码:
139-144
栏目:
数理科学与信息工程
出版日期:
2019-03-28

文章信息/Info

Title:
Chinese License Plate Recognition System Based on Haar Features
作者:
刘年生; 张家豪
（集美大学计算机工程学院，福建 厦门 361021）
Author(s):
LIU Niansheng; ZHANG Jiahao
（School of Computer Engineering，Jimei University，Xiamen 361021，China）
关键词:
车牌识别; Haar特征; 中文车牌; 智能交通
Keywords:
license plate recognition; Haar features;  Chinese license plate;  intelligent transportation system
分类号:
-
DOI:
-
文献标志码:
A
摘要:
提出了一种基于Haar特征的车牌识别方案，利用Haar特征可靠性高、计算复杂性低和容错性强等方面的特点，能够对含有噪声的中文车牌图像快速准确识别，并在Python和OpenCV开源环境下设计和实现了该方案。实验结果证明该方案具有识别率较高（94%）、识别时间短（单字符低于0.02 s，全车牌低于0.63 s）和鲁棒性强等特点，可应用于实际智能交通控制。
Abstract:
In this paper，a license plate recognition scheme based on Haar features is proposed.By using the properties of Haar features with high reliability，low computational complexity and strong robustness，the Chinese license plate images with noise can be accurately and quickly recognized.The proposed scheme is designed and implemented in the open source environment of Python and OpenCV.The experimental results show that the proposed scheme achieves a high recognition rate (94%) with rapid processing (0.02 s for single character，and 0.63 s for an entire license plate) and strong robustness.The system can be applied to actual intelligent traffic control.

参考文献/References:

相似文献/References:

[1]林立雄,庄裕富,何洪钦,等.改进CRNN的车牌识别方法[J].集美大学学报(自然科学版),2024,29(6):535.
　LIN Lixiong,ZHUANG Yufu,HE Hongqin,et al.License Plate Recognition Based on CRNN[J].Journal of Jimei University,2024,29(2):535.

备注/Memo

备注/Memo:
更新日期/Last Update: 2019-05-05