A hierarchical license plate recognition system using supervised K-means and support vector machine

Wei Chen Liu, Cheng Hung Lin

研究成果: 書貢獻/報告類型會議論文篇章

10 引文 斯高帕斯(Scopus)

摘要

In recent years, the use of license plate recognition technology in traffic monitor has attracted a lot of attention because it can be used in a smart city to do criminal investigation and traffic detection. License plate recognition technology has been widely used in parking lot management systems which has fixed shooting angle and lighting environments. The license plate recognition used in traffic monitor will encounter difficulties in character recognition due to factors such as shooting angle, vehicle speed and environment light and shadow. Aiming at the blurred and skewed character images caused by the above factors, this paper presents a hierarchical architecture combining supervised K-means and support vector machine. The supervised K-means is used to classify characters into subgroups. The characters of subgroups can be further classified by support vector machine. The advantage of the proposed approach is to reduce the classes of characters in each subgroup to further reduce the number of SVMs and their complexity, and thus improve the accuracy of character recognition. Experimental results show that our proposed hierarchical architecture achieves an accuracy of 98.89% in character recognition. Compared with the license plate recognition technology using SVM alone, we get a 3.6% improvement in recognition rate.

原文英語
主出版物標題Proceedings of the 2017 IEEE International Conference on Applied System Innovation
主出版物子標題Applied System Innovation for Modern Technology, ICASI 2017
編輯Teen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1622-1625
頁數4
ISBN(電子)9781509048977
DOIs
出版狀態已發佈 - 2017 七月 21
事件2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, 日本
持續時間: 2017 五月 132017 五月 17

出版系列

名字Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017

其他

其他2017 IEEE International Conference on Applied System Innovation, ICASI 2017
國家/地區日本
城市Sapporo
期間2017/05/132017/05/17

ASJC Scopus subject areas

  • 電腦網路與通信
  • 電腦科學應用
  • 硬體和架構
  • 安全、風險、可靠性和品質
  • 機械工業
  • 媒體技術
  • 健康資訊學
  • 儀器

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