Accuracy enhancement for license plate recognition

Lihong Zheng, Xiangjian He, Bijan Samali, Laurence T. Yang

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

21 Citations (Scopus)

Abstract

Automatic License Plate Recognition is useful for real time traffic management and surveillance. License plate recognition usually contains two steps, namely license plate detection/localization and character recognition. Recognizing characters in a license plate is a very difficult task due to poor illumination conditions and rapid motion of vehicles. When using an OCR for character recognition, it is crucial to correctly remove the license plate boundaries after the step for license plate detection. No matter which OCRs are used, the recognition accuracy will be significantly reduced if the boundaries are not properly removed. This paper presents an efficient algorithm for non character area removal. The algorithm is based on the license plates detected using an AdaBoost algorithm. Then it follows the steps of character height estimation, character width estimation, segmentation and block identification. The algorithm is efficient and can be applied in real-time applications. The experiments are performed using OCR software for character recognition. It is shown that much higher recognition accuracy is obtained by gradually removing the license plate boundaries.

Original languageEnglish
Title of host publicationProceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010
Pages511-516
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010 - Bradford, United Kingdom
Duration: 29 Jun 20101 Jul 2010

Publication series

NameProceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010

Conference

Conference10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010
Country/TerritoryUnited Kingdom
CityBradford
Period29/06/101/07/10

Keywords

  • Blob extraction
  • CCA
  • Image segmentation
  • LPR

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software

Fingerprint

Dive into the research topics of 'Accuracy enhancement for license plate recognition'. Together they form a unique fingerprint.

Cite this