Segmentation of characters on car license plates

Xiangjian He, Lihong Zheng, Qiang Wu, Wenjing Jia, Bijan Samali, Marimuthu Palaniswami

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

20 Citations (Scopus)

Abstract

License plate recognition usually contains three steps, namely license plate detection/localization, character segmentation and character recognition. When reading characters on a license plate one by one after license plate detection step, it is crucial to accurately segment the characters. The segmentation step may be affected by many factors such as license plate boundaries (frames). The recognition accuracy will be significantly reduced if the characters are not properly segmented. This paper presents an efficient algorithm for character segmentation on a license plate. The algorithm follows the step that detects the license plates using an AdaBoost algorithm. It is based on an efficient and accurate skew and slant correction of license plates, and works together with boundary (frame) removal of license plates. The algorithm is efficient and can be applied in real-time applications. The experiments are performed to show the accuracy of segmentation.

Original languageEnglish
Title of host publicationProceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Pages399-402
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 - Cairns, QLD, Australia
Duration: 8 Oct 200810 Oct 2008

Publication series

NameProceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

Conference

Conference2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Country/TerritoryAustralia
CityCairns, QLD
Period8/10/0810/10/08

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Signal Processing
  • Electrical and Electronic Engineering

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