License Plate Extraction for Moving Vehicles

Y. Cheon, C. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, a license plate extraction algorithm is proposed, which can be used in moving vehicles. First, the Haar cascade classifier was used to find candidate regions. Then, a DoG filter was used to detect the edges and connected component labeling was applied to obtain the candidate blocks. The license plate color characteristics were used to eliminate irrelevant blocks using histogram comparison and color quantization. The Bhattacharyya distance and the correlation metric were used to compare the histograms. Experiments with real data showed good performance. The dataset consists of various road and weather conditions including expressway, downtown, sunny days and rainy days. For our dataset, the recall was 0.72, the precision was 0.88 and the F-score was 0.79. For the Caltech dataset, the recall was 0.86, the precision was 0.96 and the F-score was 0.91.

Original languageEnglish
Title of host publication10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728149592
DOIs
Publication statusPublished - 2019 Jul
Event10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019 - Patras, Greece
Duration: 2019 Jul 152019 Jul 17

Publication series

Name10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019

Conference

Conference10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019
Country/TerritoryGreece
CityPatras
Period19/7/1519/7/17

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Media Technology
  • Education

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