基于Python的车牌识别系统实现

Implementation of License Plate Recognition System Base on Python

车牌识别技术主要是以图像分割理论和图形识别理论为基础,通过对采集到的车牌图像进行预处理、车牌定位,并将车牌部分的图像截取后,进行矩形校正,然后进行字符分割归一化处理,最后可以通过神经网络或者模式识别技术识别出车牌上的字符。文章在分析并参考现有车牌识别技术的基础上,运用Python+Open CV技术,选取合适的图像处理方法实现了的车牌识别功能。系统除了具有车牌识别的信息处理功能,且有较高的识别正确率和较快的识别速度,还能进行批量车牌的识别处理,并生成识别记录Excel文件上传至云服务的数据库中,为进一步实现车牌识别系统智能化提供支持。

License plate recognition technology is mainly based on image segmentation theory and pattern identification theory.Through preprocessing the collected license plate image, locating the license plate, intercepting the image of the license plate, correcting the rectangle, and then normalizing the character segmentation. Finally, the characters on the license plate can be recognized through neural network or pattern recognition technology. On the basis of analyzing and referring to the existing license plate recognition technology, this paper uses Python + Open CV technology to select the appropriate image processing method to realize the license plate recognition function. In addition to the information processing function of license plate recognition, the system has high recognition accuracy and fast recognition speed. It can also recognize and process batch license plates, generate recognition record Excel files and upload them to the cloud service database, providing support for further intellectualization of license plate recognition system.