“第二十一章 车牌识别”版本间的差异

2023年8月13日 (日) 01:52的版本

教学资料

• 教学参考
• 课件
• 小清爱提问：机器如何识别车牌[1]
• 小清爱提问：目标检测中的YOLO网络长什么样？[2]

扩展阅读

• AI100问：什么是YOLO模型 [3]
• AI100问：机器如何识别车牌[4]

视频展示

• YOLO visulaization [5]
• YOLO-v3 [6]

演示链接

• 旷世科技在线演示[7]
• 云脉展示[8]
• 薪火科技[9]
• DTK车牌识别在线演示[10]
• Tanar Automatic Number Plate Reader System [11]

开发者资源

• OpenCV 车牌识别流程和样例程序[12][13]
• 基于Yolo v4的车牌识别 [14]
• ALPR in Unscontrained Scenarios [15]

高级读者

• Arafat M Y, Khairuddin A S M, Khairuddin U, et al. Systematic review on vehicular licence plate recognition framework in intelligent transport systems[J]. IET Intelligent Transport Systems, 2019, 13(5): 745-755. [16]
• Srikanth P, Kumar A. Automatic vehicle number plate detection and recognition systems: Survey and implementation[M]//Autonomous and Connected Heavy Vehicle Technology. Academic Press, 2022: 125-139. [17]
• Zherzdev S, Gruzdev A. Lprnet: License plate recognition via deep neural networks[J]. arXiv preprint arXiv:1806.10447, 2018. [18]
• Xie L, Ahmad T, Jin L, et al. A new CNN-based method for multi-directional car license plate detection[J]. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(2): 507-517. [19]
• J. Redmon, S. Divvala, R. Girshick, A. Farhadi You only look once: unified, real-time object detection Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (2016), pp. 779-788 [20]