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Extraction of car license plate regions using line grouping and edge density methods

  • Gisu Heo*
  • , Minwoo Kim
  • , Insook Jung
  • , Duk Ryong Lee
  • , Il Seok Oh
  • *Corresponding author for this work
  • Jeonbuk National University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

In this paper we propose the double chance algorithm as an approach to car license plate extraction. The first algorithm extracts the line segments and groups them based on a set of geometrical conditions. It detects a rectangle at the plate boundary accurately. The second algorithm finds plate regions at which the vertical edges appear densest. We evaluated the double chance framework with and without the verification process. The verification process is performed using the character segmentation module. Using a real-life database collected by the speed enforcement camera, we obtained a high success rate of 99.45%, through use of the double chance approach with verification.

Original languageEnglish
Title of host publicationProceedings - 2007 International Symposium on Information Technology Convergence, ISITC 2007
Pages37-42
Number of pages6
DOIs
StatePublished - 2007
Event2007 International Symposium on Information Technology Convergence, ISITC 2007 - Jeonju, Korea, Republic of
Duration: 2007.11.232007.11.24

Publication series

NameProceedings - 2007 International Symposium on Information Technology Convergence, ISITC 2007

Conference

Conference2007 International Symposium on Information Technology Convergence, ISITC 2007
Country/TerritoryKorea, Republic of
CityJeonju
Period07.11.2307.11.24

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Communication & Media Studies

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