Accurate car plate detection via car face landmark localization

Hailiang Li, Man Yau Chiu, Kangheng Wu, Zhibin Lei, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


For intelligent vehicle surveillance systems, it is a big challenge to detect small, blurred car plates of vehicles driving on a highway. In this paper, we present a novel, two-stage detection scheme for small, blurred car-plate detection in large surveillance images. Our proposed scheme firstly detects vehicles, and then locates the car plates in specific regions of detected vehicles based on our proposed car-face landmark localization algorithm. Our scheme can also solve the high false-alarming rate problem with small, blurred car-plate detection. Experimental results show that our proposed method is accurate, and able to reduce the false-alarming rate, without any compromise in speed.
Original languageEnglish
Title of host publicationNinth International Conference on Digital Image Processing, ICDIP 2017
ISBN (Electronic)9781510613041
Publication statusPublished - 1 Jan 2017
Event9th International Conference on Digital Image Processing, ICDIP 2017 - Hong Kong, Hong Kong
Duration: 19 May 201722 May 2017


Conference9th International Conference on Digital Image Processing, ICDIP 2017
Country/TerritoryHong Kong
CityHong Kong


  • Car-plate detection
  • Intelligent traffic
  • Surveillance system.
  • Vehicle detection and tracking

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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