Multimedia Tools and Applications

, Volume 68, Issue 1, pp 23-40

First online:

Open Access This content is freely available online to anyone, anywhere at any time.

Quality assessment for a visual and automatic license plate recognition

  • Lucjan JanowskiAffiliated withDepartment of Telecommunications, AGH University of Science and Technology Email author 
  • , Piotr KozłowskiAffiliated withDepartment of Telecommunications, AGH University of Science and Technology
  • , Remigiusz BaranAffiliated withFaculty of Electrical Engineering, Automatics and Computer Science, Kielce University of Technology
  • , Piotr RomaniakAffiliated withAcademic Computer Centre CYFRONET AGH, AGH University of Science and Technology
  • , Andrzej GlowaczAffiliated withDepartment of Telecommunications, AGH University of Science and Technology
  • , Tomasz RuscAffiliated withInstitute of Physics, Jan Kochanowski University


Video transmission and analysis is often utilized in applications outside of the entertainment sector, and generally speaking this class of video is used to perform specific tasks. Examples of these applications include security and public safety. The Quality of Experience (QoE) concept for video content used for entertainment differs significantly from the QoE of surveillance video used for recognition tasks. This is because, in the latter case, the subjective satisfaction of the user depends on achieving a given functionality. Recognizing the growing importance of video in delivering a range of public safety services, we focused on developing critical quality thresholds in license plate recognition tasks based on videos streamed in constrained networking conditions. Since the number of surveillance cameras is still growing it is obvious that automatic systems will be used to do the tasks. Therefore, the presented research includes also analysis of automatic recognition algorithms.


Quality of experience License plate recognition Automatic plate recognition Compression influence