Comparison of Techniques for Vehicle Plate Location Detection for a Multi-Camera Tracking System

• MUSA ZALILI BINTI

  Graduate School of Information, Production and Systems Waseda University

• WATADA JUNZO

  Graduate School of Information, Production and Systems Waseda University

抄録

The aim of this study is to construct a multi-camera tracking system for vehicle plate recognition. Generally, recognizing a vehicle plate for a toll-gate system or parking system is easier than recognizing a car plate in a highway system. There are many cameras installed on the highway to capture images and every camera has different angles of images. As a result, the images are captured in varied imaging conditions and not focusing on the vehicle plate itself. Therefore, we need a system that is able to recognize the location of a vehicle plate first. In this paper we will propose different techniques for vehicle plate location detection. First, we used segmentation method and second we applied Fast Fourier Transform and histogram method to recognize the location of a vehicle plate. The result will be discussed and the methods are compared at the end of this paper.

収録刊行物

• バイオメディカル・ファジィ・システム学会大会講演論文集

  バイオメディカル・ファジィ・システム学会大会講演論文集 19 (0), 87-90, 2006

  バイオメディカル・ファジィ・システム学会

キーワード

• Vehicle plate recognition
• vehicle plate location detection
• recognition system
• tracking system

詳細情報

• CRID: 1390001205228115968
• NII論文ID: 110008136372
• DOI: 10.24466/pacbfsa.19.0_87
• ISSN: 24242586
• ISSN: 13451510
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可