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Recognition of Characters and Numbers in Vietnam License Plates based on Image Processing and Neural Network

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJHIT) 바로가기
  • 간행물
    International Journal of Hybrid Information Technology 바로가기
  • 통권
    Vol.5 No.2 (2012.04)바로가기
  • 페이지
    pp.255-268
  • 저자
    VinhDu Mai, Duoqian Miao, Ruizhi Wang, Hongyun Zhang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A208138

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원문정보

초록

영어
Artificial neural network (ANN) have wide applicability in various applications in the life, one of them is apply to recognize characters and numbers, and we know that the Automatic License Plate Recognition (ALPR) is very important in the Intelligent Transportation System (ITS) and it is beginning in research and application in Vietnam. Usually, an ALPR system consists of three parts: 1) license plate location, 2) character segmentation, 3) characters & numbers recognition. In this paper, we proposed an improved method for the characters & numbers recognition part. And then, we apply to recognize characters & numbers of Vietnam License Plates (LP), which combined neural network and image processing technologies. In the training work, we used two networks and back-propagation (BP) algorithm for characters & numbers training with noises, separately, which the computing time and accuracy will be improved. In the using network work, we used the image processing technology for pre-processing to obtain high quality of characters & numbers before put in the trained network to improve accuracy of the system. We tested on 600 Vietnam LP images, which obtained from the actual systems, these images are very different background such as illumination, license angles, size and type, colors, light conditions in Vietnam environment. Our approach is more effective than some of the existing methods and satisfied for all types and color of Vietnam license plates and Vietnam environment.

목차

Abstract
 1. Introduction
 2. Features of Vietnam LP
 3. Characters & Numbers Recognition in the Vietnam LP
  3.1. Architecture of the Proposed Method
  3.2. Training of MLP Network with Back-propagation Algorithm
  3.3. Testing of MLP Network
  3.4. Using of MLP network to recognize characters & numbers in the Vietnam LP
 4. Experiments Results
 5. Conclusions
 Acknowledgements
 References

키워드

License plate location Pattern recognition Artificial neural network Automatic license plate recognition

저자

  • VinhDu Mai [ Department of Computer Science and Technology, Tongji University, Electrical & Electronic Department, University of Transport and Communications ]
  • Duoqian Miao [ Department of Computer Science and Technology, Tongji University ]
  • Ruizhi Wang [ Department of Computer Science and Technology, Tongji University ]
  • Hongyun Zhang [ Department of Computer Science and Technology, Tongji University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Hybrid Information Technology
  • 간기
    격월간
  • pISSN
    1738-9968
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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