A Study on Character Recognition Method of License Plate for Vehicle Flow Measurement

Abstract

In our country automobile traffic census is generally conducted manually. However, the shortage of surveyors is becoming the norm due to the declining birthrate and aging population, and there is a need to make surveys more efficient and labor-saving. As a solution to this problem, AI-based traffic census has been attracting attention. But it is impossible to identify the same vehicle because most of the technology target cross-sectional traffic volume measurement. Therefore, it is thought that the same vehicle can be identified by recognizing the letters on the license plate. In this study, first, we devised a method for extracting and recognizing a series of designated license plate numbers and verified its accuracy. The devised method was then applied to video images taken between the two locations to verify whether the same vehicle could be identified. As a result, revealed the possibility of identifying identical vehicles, which could not be measured with existing technology.