EQ-LPR: Efficient Quality-Aware License Plate Recognition

Cong Zhang, Qi Wang, Xuelong Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

License plate recognition (LPR) has attracted considerable attention due to its widespread applications in real life. Although numerous approaches based on image processing have been presented in the past few years, it is still an urgent issue to perform the LPR task efficiently in complex and unconstrained scenarios. To remedy this problem, an efficient quality-aware license plate recognition algorithm is proposed by introducing the siamese networks for plate stream recognition and quality awareness in the traffic videos. Moreover, we explore three progressive architectures for efficient and accurate recognition. Knowledge distillation is adopted to compress the quality awareness network and make it lightweight. Extensive experiments have demonstrated the impressive performance and efficiency of the proposed method.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PublisherIEEE Computer Society
Pages653-657
Number of pages5
ISBN (Electronic)9781728163956
DOIs
StatePublished - Oct 2020
Event2020 IEEE International Conference on Image Processing, ICIP 2020 - Virtual, Abu Dhabi, United Arab Emirates
Duration: 25 Sep 202028 Sep 2020

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2020-October
ISSN (Print)1522-4880

Conference

Conference2020 IEEE International Conference on Image Processing, ICIP 2020
Country/TerritoryUnited Arab Emirates
CityVirtual, Abu Dhabi
Period25/09/2028/09/20

Keywords

  • Knowledge Distillation
  • License Plate Recognition
  • Quality Awareness
  • Siamese Networks

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