计算机技术与发展2018，Vol.28Issue(6)：85-89,5.DOI:10.3969/j.issn.1673-629X.2018.06.019
基于深度学习的车牌识别系统设计
Design of License Plate Recognition System Based on Deep Learning
摘要
Abstract
With increasing of vehicles in domestic,how to effectively manage a large number of motor vehicles has become the main prob-lem in the current traffic management institutions. In this paper,we propose a prototype system of license plate recognition through the re-search of license plate location,license plate character segmentation and recognition by using deep learning technology. In the plate pre-processing module,a series of operations,such as image grayscale processing,are used for denoising in the non-license plate area. In the plate location module,a target detection method based on deep learning is adopted. After the binarization and tilt correction,license plate characters are segmented by vertical projection. Finally,the similarity between the image and the template is calculated by the improved Hausdorff distance,and the license plate characters are recognized by the template matching method. The experiment shows that the accu-racy of license plate recognition system is higher than others.关键词
图像预处理/车牌定位/车牌字符分割/车牌字符识别/Hausdorff距离Key words
image preprocessing/license plate location/license plate character segmentation/license plate character recognition/Hausdorff distance分类
信息技术与安全科学引用本文复制引用
陈利..基于深度学习的车牌识别系统设计[J].计算机技术与发展,2018,28(6):85-89,5.基金项目
国家自然科学基金(61373117) （61373117）
