차량 번호 관리조회 고속화를 위한 효율적인 파일 데이터베이스의 설계와 구현

Abstract

License plate recognition using image processing is widely used for police crime tracking and unmanned parking management. The tracking system transmits the camera image to the central system, and compares the information converted into digital data and the criminal vehicle information stored in the database through image processing in the central system to determine whether the vehicle is a criminal vehicle. This incurs a relatively long time and high cost until the identification of the crime vehicle, it is difficult to obtain information and quickly determine the crime vehicle. In this paper, to solve this problem, we propose a database structure for storing and managing license plate information and an algorithms for efficient retrieval. Vehicle number limit was prepared based on Korean standard license plate and structured information efficiently by constructing two-dimensional array form using purpose and vehicle registration number. The performance evaluation of the file database demonstrates the fast access of vehicle information through a search algorithm through comparison with SQLite.