Original address: https://blog.csdn.net/chenghaibing2008/article/details/52909226
License plate recognition technology is an application of computer video image recognition technology in vehicle license plate recognition, so what is the implementation method of license plate recognition technology?
1. Implementation method of license plate recognition technology
The recognition of vehicle license plate is based on image segmentation and image recognition theory, and the image containing the license plate is analyzed and processed to determine the position of the license plate in the image, and further extract and recognize text characters.
The recognition steps are summarized as: license plate location, license plate extraction, character recognition. The three-step recognition work complements each other, and each has a high efficiency, and the overall recognition rate will increase. The speed of recognition depends on character recognition. The current main application technology of character recognition is the comparison and recognition sample database, that is, all the characters are established as a sample database. After the characters are extracted, the character judgment is realized by comparing the sample database. The intermediate result values such as reliability and inclination; the other is the character recognition technology based on the knowledge of character structure, which more effectively improves the recognition rate and accuracy, and has strong adaptability.
There are two main ways to realize the license plate recognition system: one is the recognition of static images, and the other is real-time recognition of dynamic video streams. The recognition efficiency of static image recognition technology is largely limited by the quality of image capture. It is a single-frame image recognition. At present, the average recognition speed of products in the market is 200 milliseconds; while the recognition technology of dynamic video streams has strong adaptability and recognition speed. Fast, it realizes the recognition of each frame of the video, increases the number of recognition and comparison, and selects the license plate number.
二、车牌识别技术的应用
车牌识别在高速公路车辆管理中得到广泛应用，电子收费(ETC)系统中，也是结合DSRC技术识别车辆身份的主要手段。
在停车场管理中，车牌识别技术也是识别车辆身份的主要手段。在深圳市公安局建设的《停车库(场)车辆图像和号牌信息采集与传输系统技术要求》中，车牌识别技术成为车辆身份识别的主要手段。
车牌识别技术结合电子不停车收费系统(ETC)识别车辆，过往车辆通过道口时无须停车，即能够实现车辆身份自动识别、自动收费。在车场管理中，为提高出入口车辆通行效率，车牌识别针对无需收停车费的车辆(如月卡车、内部免费通行车辆)，建设无人值守的快速通道，免取卡、不停车的出入体验，正改变出入停车场的管理模式。
