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A Study On Low-cost LPR(License Plate Recognition) System Based On Smart Cam System using Android

안드로이드 기반 스마트 캠 방식의 저가형 자동차 번호판 인식 시스템 구현에 관한 연구

  • Lee, Hee-Yeol (Department of Electronics&Control Engineering, Hanbat National University) ;
  • Lee, Seung-Ho (Department of Electronics&Control Engineering, Hanbat National University)
  • Received : 2014.10.05
  • Accepted : 2014.11.07
  • Published : 2014.12.31

Abstract

In this paper, we propose a low-cost license plate recognition system based on smart cam system using Android. The proposed system consists of a portable device and server. Potable device Hardware consists of ARM Cortex-A9 (S5PV210) processor control unit, a power supply device, wired and wireless communication, input/output unit. We develope Linux kernel and dedicated device driver for WiFi module and camera. The license plate recognition algorithm is consisted of setting candidate plates areas with canny edge detector, extracting license plate number with Labeling, recognizing with template matching, etc. The number that is recognized by the device is transmitted to the remote server via the user mobile phone, and the server re-transfer the vehicle information in the database to the portable device. To verify the utility of the proposed system, user photographs the license plate of any vehicle in the natural environment. Confirming the recognition result, the recognition rate was 95%. The proposed system was suitable for low cost portable license plate recognition device, it enabled the stability of the system when used long time by using the Android operating system.

본 논문에서는 안드로이드 운영체제를 기반으로 하는 스마트 캠 방식의 저가형 자동차 번호판 인식 시스템을 제안한다. 제안하는 시스템은 휴대용 단말기와 서버로 구성된다. 단말기 하드웨어부는 ARM Cortex-A9(S5PV210) 프로세서로 이루어진 제어부, 전원부, 유무선통신부, 입출력부 등으로 구성된다. 단말기에 사용되는 카메라와 WiFi 모듈을 위한 리눅스 커널을 포팅하고 전용 디바이스 드라이버를 개발하였다. 번호판 인식 알고리즘은 캐니 에지검출기를 사용한 번호판 후보영역 설정, 레이블링을 이용한 번호판 번호 추출, 템플릿 매칭을 이용한 번호인식 등으로 구현된다. 단말기에 의하여 인식된 번호는 사용자가 소지한 휴대폰을 통하여 원격지의 서버에 전송되어 차량상태를 데이터베이스에서 검색하여 다시 단말기로 전송 해주게 된다. 본 논문에서 제안하는 시스템을 효용성을 입증하기 위하여 자연환경에서 사용자가 직접 단말기를 휴대하고 임의의 차량 번호판을 촬영하여 인식률을 확인한 결과, 95%의 인식률을 보였다. 제안된 시스템은 저가형의 휴대용 번호판 인식기에 적합하며, 안드로이드 운영체제를 사용함으로써 장기간 사용 시에도 시스템의 안정성을 가능케 하였다.

Keywords

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