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License plate photo recognition technology based on micro-nano filter

发布时间:2023-09-14点击次数:

  • 发表刊物:Proc. SPIE
  • 关键字:micro-nano filter; image processing; license plate recognition
  • 摘要:In the process of the license plate photo recognition process, light and external environmentare important factors for the clarity of the photo result. We first add a 400nm filter in front ofthe camera to carry out the experiment, take pictures with ultraviolet rays light and withoutultraviolet rays light source irradiation, then add a 390nm filter in front of the camera toperform the same experiment for comparison. Perform comparative analysis and imageprocessing on the experimental shooting results. First, it can be seen from the comparison ofthe shooting results that the clarity and recognition of the image under the action of the400nm filter are significantly improved compared with that of the 390nm filter. Second, theimage processing is used to analyze the results, which can eff ectively identify the license plateinformation. Finally, the license plate is irradiated with micro-nano filter and ultraviolet lightsource instead of the monitor fill light, so the strong light stimulation to the driver's eyes isavoided, thereby alleviating the short-term `light blindness' phenomenon of the human eyesand reducing the hidden safety hazards when driving.
  • 备注:Journal: AOPC 2020: Optical Sensing and Imaging Technology Volume: 11567 DOI: 10.1117/12.2580091 Article Number: 1156735 Book Series: Proceedings of SPIE Document Type: Proceedings Paper Conference: Applied Optics and Photonics China (AOPC) Conference - Optical Sensing andImaging Technology Location: Xiamen, PEOPLES R CHINA Date: AUG 25-27, 2020 Published: 2020 Indexed: 2021-06-01 ISSN: 0277-786X eISSN: 1996-756X
  • 合写作者:Jingyue Fang, Xiaoli Xie, Guangyi Xiao, Jianping Zeng
  • 第一作者:Ziling Chen
  • 论文类型:论文集
  • 论文编号:1156735
  • 学科门类:理学
  • 一级学科:物理学
  • 文献类型:C
  • 卷号:11567
  • ISSN号:0277-786X
  • 是否译文:否
  • 发表时间:2020-11-05
  • 收录刊物:SCI
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方靖岳

个人信息



  • 硕士生导师
  • 教师拼音名称:fangjingyue
  • 电子邮箱:
  • 入职时间:2021-12-30
  • 所在单位:电子信息学院
  • 学历:博士研究生毕业
  • 性别:
  • 学位:理学博士学位
  • 在职信息:在职
  • 毕业院校:国防科技大学

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