毕业设计所需阅读文献目录

下学期开学就是大四的最后一学期，大学本科的生活也即将结束

作为毕业前最重要的一环，毕业设计我选择了 智能车牌识别系统的设计与实现 作为课题

指导老师要求给出需要泛读与精读的文献目录

为方便后续查阅，我准备将这篇文章作为一个书签收藏夹，保存文献目录及对应的链接

关于中文文献的注意事项

中文文献数据库连接来自于知网，因众所周知的原因，知网不能免费使用。若要在校外查看中文文献的数据库网页，需先在 西南石油大学服务门户 进行校外登录，再回到这里点击进入对应数据库网页。

泛读

核心期刊

1. 邬忠萍,刘新厂,郝宗波.基于并行CNN和识别策略优化的车牌识别方法研究[J].南京师大学报(自然科学版),2023,46(03):98-104
2. 陈超南,邱文忠,严舒琪等.基于深度学习和大数据实现的车牌智能识别抓拍系统[J].长江信息通信,2022,35(07):30-32.
3. 张恒宇,何金蓉,丛金亮等.基于树莓派的智能车牌识别系统设计与实现[J].中国储运,2022(07):58-60.DOI:10.16301/j.cnki.cn12-1204/f.2022.07.042.
4. 李宏伟,罗自航,张贺磊.车牌识别系统的关键技术分析[J].物联网技术,2022,12(06):14-15+19.DOI:10.16667/j.issn.2095-1302.2022.06.003.
5. 卢嫚,谢磊鑫.基于OpenCV智能车牌及颜色识别[J].自动化与仪表,2023,38(08):120-124.DOI:10.19557/j.cnki.1001-9944.2023.08.025.
6. 林云.基于OpenCV的车牌识别系统设计与实现[J].物联网技术,2020,10(06):22-25.DOI:10.16667/j.issn.2095-1302.2020.06.006.
7. 张三友,姜代红.基于OPENCV的智能车牌识别系统[J].软件导刊,2016,15(05):87-89.
8. 王俊芳,王正欢,王敏.常用图像去噪滤波方法比较分析[J].现代商贸工业,2009,21(16):310-311.DOI:10.19311/j.cnki.1672-3198.2009.16.180.
9. 尹方平,苏静.一种改进的核维纳滤波器图像去噪算法研究[J].激光与红外,2010,40(05):549-553.
10. 孙炎增,张前进.车牌字符识别技术的研究与实现[J].微电子学与计算机,2008(06):101-104.DOI:10.19304/j.cnki.issn1000-7180.2008.06.027.
11. 杨涛,张森林.一种基于HSV颜色空间和SIFT特征的车牌提取算法[J].计算机应用研究,2011,28(10):3937-3939+3976.
12. 周宇.基于OpenCV-Python的图像分割技术的设计和应用[J].电子世界,2018(03):116-117.DOI:10.19353/j.cnki.dzsj.2018.03.061.
13. 封雪,李东新.基于数字图像处理的车牌字符分割方法[J].电子设计工程,2014,22(22):185-187.DOI:10.14022/j.cnki.dzsjgc.2014.22.055.
14. 陈政,李良荣,李震等.基于机器学习的车牌识别技术研究[J].计算机技术与发展,2020,30(06):13-18.
15. 周毅.基于OPENCV的车牌定位方法[J].西部交通科技,2018(06):146-150.DOI:10.13282/j.cnki.wccst.2018.06.038.
16. 张帅.OpenCV在智能车牌识别系统中的应用研究[J].科技创新与应用,2020(06):172-173.
17. 魏雄.基于OpenCV的车牌识别系统中车牌定位的实现[J].电子世界,2019(03):113-115.DOI:10.19353/j.cnki.dzsj.2019.03.064.
18. 刘慧英,王小波.基于OpenCV的车辆轮廓检测[J].科学技术与工程,2010,10(12):2987-2991.
19. C. N. E. Anagnostopoulos, I. E. Anagnostopoulos, V. Loumos and E. Kayafas, “A License Plate-Recognition Algorithm for Intelligent Transportation System Applications,” in IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 3, pp. 377-392, Sept. 2006, doi: 10.1109/TITS.2006.880641.
20. W. K. I. L. Wanniarachchi, D. U. J. Sonnadara and M. K. Jayananda, “License plate identification based on image processing techniques,” 2007 International Conference on Industrial and Information Systems, Peradeniya, Sri Lanka, 2007, pp. 373-378, doi: 10.1109/ICIINFS.2007.4579205.
21. M. Samantaray, A. K. Biswal, D. Singh, D. Samanta, M. Karuppiah and N. P. Joseph, “Optical Character Recognition (OCR) based Vehicle’s License Plate Recognition System Using Python and OpenCV,” 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 2021, pp. 849-853, doi: 10.1109/ICECA52323.2021.9676015.
22. M. T. Qadri and M. Asif, “Automatic Number Plate Recognition System for Vehicle Identification Using Optical Character Recognition,” 2009 International Conference on Education Technology and Computer, Singapore, 2009, pp. 335-338, doi: 10.1109/ICETC.2009.54.
23. Chuin-Mu Wang and Jian-Hong Liu, “License plate recognition system,” 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Zhangjiajie, China, 2015, pp. 1708-1710, doi: 10.1109/FSKD.2015.7382203.
24. Y. Wen, Y. Lu, J. Yan, Z. Zhou, K. M. von Deneen and P. Shi, “An Algorithm for License Plate Recognition Applied to Intelligent Transportation System,” in IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 3, pp. 830-845, Sept. 2011, doi: 10.1109/TITS.2011.2114346.
25. Z. Selmi, M. Ben Halima and A. M. Alimi, “Deep Learning System for Automatic License Plate Detection and Recognition,” 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan, 2017, pp. 1132-1138, doi: 10.1109/ICDAR.2017.187.
26. J. Frigo, V. Kulathumani, S. Brennan, E. Rosten and E. Raby, “Sensor network based vehicle classification and license plate identification system,” 2009 Sixth International Conference on Networked Sensing Systems (INSS), Pittsburgh, PA, USA, 2009, pp. 1-4, doi: 10.1109/INSS.2009.5409916.
27. Agbemenu, Andrew S., Jepthah Yankey, and Ernest O. Addo. “An automatic number plate recognition system using opencv and tesseract ocr engine.” International Journal of Computer Applications 180, no. 43 (2018): 1-5.
28. M. Kročka, P. Dakić and V. Vranić, “Automatic License Plate Recognition Using OpenCV,” 2022 12th International Conference on Advanced Computer Information Technologies (ACIT), Ruzomberok, Slovakia, 2022, pp. 530-535, doi: 10.1109/ACIT54803.2022.9913168.
29. E. C. Huallpa, A. A. S. Macalupu, J. E. O. Luque and J. Sánchez-Garces, “Automatic recognition and license plate detection model based on OpenCV and Machine Learning,” 2022 11th International Conference On Software Process Improvement (CIMPS), Acapulco, Guerrero, Mexico, 2022, pp. 133-142, doi: 10.1109/CIMPS57786.2022.10035687.
30. N. Darapaneni et al., “Computer Vision based License Plate Detection for Automated Vehicle Parking Management System,” 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, USA, 2020, pp. 0800-0805, doi: 10.1109/UEMCON51285.2020.9298091.

学位论文

1. 田策. 基于深度学习的车牌识别算法研究[D].重庆工商大学,2023.DOI:10.27713/d.cnki.gcqgs.2023.000158.
2. 陶军. 车牌识别技术研究与实现[D].南京理工大学,2004.
3. 孙成磊. 复杂场景下基于OpenCV的车牌识别算法研究[D].曲阜师范大学,2018.
4. 康健新. 基于图像的车牌识别系统的设计和实现[D].吉林大学,2015.

精读

核心期刊

1. 李清洲,潘为刚,王书新.基于Python-OpenCV的车牌识别系统[J].单片机与嵌入式系统应用,2020,20(09):59-62.
2. 毕波,邵永谦,孙冬军等.基于OpenCV的车牌识别[J].电子设计工程,2019,27(01):37-41.DOI:10.14022/j.cnki.dzsjgc.2019.01.008.
3. L. Xu, W. Shang, W. Lin and W. Huang, “License Plate Detection Methods Based on OpenCV,” 2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter), Ho Chi Minh City, Vietnam, 2021, pp. 11-16, doi: 10.1109/SNPDWinter52325.2021.00012.

学位论文

1. 杨思源. 基于OPENCV的车辆牌照识别系统研究[D].西安电子科技大学,2013.