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Design of a Korean Character Vehicle License Plate Recognition System

퍼지 ARTMAP에 의한 한글 차량 번호판 인식 시스템 설계

  • 웅성 (대구대학교 전자공학과) ;
  • 최병재 (대구대학교 전자공학과)
  • Received : 2009.11.30
  • Accepted : 2010.02.01
  • Published : 2010.04.25

Abstract

Recognizing a license plate of a vehicle has widely been issued. In this thesis, firstly, mean shift algorithm is used to filter and segment a color vehicle image in order to get candidate regions. These candidate regions are then analyzed and classified in order to decide whether a candidate region contains a license plate. We then present an approach to recognize a vehicle's license plate using the Fuzzy ARTMAP neural network, a relatively new architecture of the neural network family. We show that the proposed system is well to recognize the license plate and shows some compute simulations.

Keywords

References

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Cited by

  1. Meter Numeric Character Recognition Using Illumination Normalization and Hybrid Classifier vol.24, pp.1, 2014, https://doi.org/10.5391/JKIIS.2014.24.1.071