车辆号码识别系统自动收费

S. Soomro, M. A. Javed, F. Memon
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引用次数: 37

摘要

车辆号码识别(VNR)是一种利用高效算法从实时图像中检测车辆号码的图像处理技术。目的是设计一个高效的车辆号码识别系统并实现自动收费。该系统首先检测车辆,然后捕捉车辆的前视图图像。车牌定位和字符分割。该系统是为灰度图像设计的,因此无论车牌的颜色如何,它都能检测到车牌。采用模板匹配技术进行字符识别。然后将得到的车号与所有车辆的可用数据库进行比较,从而得出有关车辆类型的信息并相应地收取通行费。然后允许系统为车辆打开道路障碍并生成通行税收据。车辆信息(如通过时间、日期、收费金额)也存储在数据库中,以保持记录。实现了软硬件集成系统,并建立了工作样机模型。实验表明,该系统成功地检测和识别了巴基斯坦车辆真实图像的车牌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicle Number Recognition system for automatic toll tax collection
Vehicle Number Recognition (VNR) is an image processing technology which uses efficient algorithms to detect the vehicle number from real time images. The objective is to design an efficient Vehicle Number Recognition System & to implement it for automatic toll tax collection. The system detects the vehicle first and then captures the image of the front view of the vehicle. Vehicle number plate is localized & characters are segmented. The system is designed for grayscale images so it detects the number plate regardless of its color. Template matching technique is used for character recognition. The resulting vehicle number is then compared with the available database of all the vehicles so as to come up with information about the vehicle type & to charge toll tax accordingly. The system is then allowed to open road barrier for the vehicle & generate toll tax receipt. The vehicle information (such as passing time, date, toll amount) is also stored in the database to maintain the record. The hardware & software integrated system is implemented & a working prototype model is developed. Experiments show that system successfully detects and recognize the vehicle number plate of real images of Pakistani vehicles.
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