License Plate Recognition for Moving Motorcycles

• Main Authors: MAO, YUNG-HENG, 毛永亨
• Other Authors: LIAO, HSIEN-CHOU
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/d26f29

碩士 === 朝陽科技大學 === 資訊工程系 === 106 === Currently the license plate recognition technology has been widely used in daily life. It mainly detects the license plate characters by computer vision technology and identifies license plate characters. The object of license plate recognition is usually stationary vehicles, a few are for the recognition of moving vehicles, and its application is subject to a certain degree of restrictions. Motorcycle stability is far less than that of vehicles when moving, resulting in a more unfixed motorcycle license plate's sight angle when moving. Therefore, motorcycle license plates are more difficult to identify than vehicle license plates. This study designed a license plate recognition system for a moving motorcycle. The system can be divided into three stages: The first stage of license plate detection In order to extract the license plate location in the image. The second phase license plate calibration is to deal with the moving license plate has not fixed tilt angle, as well as different location size and other issues. The third stage of character recognition is to extract the license plate characters, and the characters accurately identified. In order to achieve high accuracy and stability of the system, Euresys Open eVision, a computer vision library for industrial applications, was introduced to realize system functions. At present, the accuracy of system identification reaches above 95.5% with an average identification time of 47.62 ms, which achieves the purpose of identifying motorcycle license plates in progress.