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Automatic Number Plate Recognition (ANPR) and Automatic License Plate Recognition (ALPR) System using ANN

첫 페이지 보기
  • 발행기관
    한국차세대컴퓨팅학회 바로가기
  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 통권
    The 8th International Conference on Next Generation Computing 2022 (2022.10)바로가기
  • 페이지
    pp.284-287
  • 저자
    Arif Wicaksono Septyanto, Muhammad Usman Bilal, Khowla Khaliq, Muhammad Waseem Iqbal, Rimsha Khalid, Irfan Ullah
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A419801

원문정보

초록

영어
This research work demonstrates surveillance of traffic on roads and streets which is used by private companies and public organizations and government institutions. The primary purpose is the well-organized management of the transport system and public safety on highways and in civil areas. This paper used the technique to well-structured localize the LP and segmentation of captured images is done by the ALPR system. We explained the localization of license plates by using the integrated segmentation method. ALPR system contains several well-observed skeletons like security administration, parking, vehicle identification, streets and road activity management, schedule of toll collecting framework, and so forth. There are various frameworks are present which are used for License plate capturing. The most important part of the ALPR framework is the accurate confinement of different number plates, recognition, and segmentation. By ALPR systems we can easily identify the number of vehicle plates. ANPR system also plays a crucial part in vehicle plate capturing and identification. This system helps in monitoring and tracking automobiles. In this paper, we have tried numerous techniques for traffic control and monitoring purposes which are works based on various techniques and methodologies. But ANPR primarily did their work for accuracy and template matching of vehicle number plates.

목차

Abstract
I. INTRODUCTION
II. RELATED WORKS
III. PROPOSED APPROACH
IV. RESULTS & DISCUSSIONS
V. CONCLUSION AND FUTURE WORK
REFERENCES

키워드

LP (License Plate) CCA (Connected Component Analysis) ALPR (Automatic License Plate Recognition) PC (Pixel Count) ANPR (Automatic Number Plate Recognition) OCR (Optical Character Recognition) ANN (Artificial Neural network).

저자

  • Arif Wicaksono Septyanto [ Department of Information Systems Institut Teknologi Kalimantan Balikpapan, Indonesia ]
  • Muhammad Usman Bilal [ Department of Computer Science & IT The Superior University Lahore- 54500, Pakistan ]
  • Khowla Khaliq [ Department of Computer Science & IT The Superior University Lahore- 54500, Pakistan ]
  • Muhammad Waseem Iqbal [ Department of Software Engineering The Superior University Lahore- 54500, Pakistan ]
  • Rimsha Khalid [ Department of Computer Science & IT The Superior University Lahore- 54500, Pakistan ]
  • Irfan Ullah [ Troon Technology Islamabad-45000, Pakistan ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국차세대컴퓨팅학회 [Korean Institute of Next Generation Computing]
  • 설립연도
    2005
  • 분야
    공학>컴퓨터학
  • 소개
    본 학회는 차세대 PC 및 그 관련분야의 학술활동을 통하여 차세대 PC의 학문 및 기술발전을 도모하고 산업발전 및 국제협력 증진을 목적으로 한다.

간행물

  • 간행물명
    한국차세대컴퓨팅학회 학술대회
  • 간기
    반년간
  • 수록기간
    2021~2025
  • 십진분류
    KDC 566 DDC 004

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