哈尔滨商业大学学报（自然科学版）2017，Vol.33Issue(1)：89-93,5.
基于模板匹配和神经网络车牌识别技术的研究
Research on license plate character recognition based on template matching and neural network
徐园园 1吴生鑫 1谭畅 1黄嘉煜 1刘东飞 1张旭1
作者信息
摘要
Abstract
In this paper, an algorithm of license plate character recognition based on template matching and neural network was proposed.The bidimensional empirical mode decomposition ( BEMD) was applied for image denoising.The Sobel operator was used for detecting image edge, and then image feature extractions were realized by the cumulative histogram and low resolution image.Finally, parts of the license plate characters were roughly recognized by template matching.The rest which cannot be recognized by template matching can be ob-tained using Neural Network.Experimental results showed that the algorithm could improve the recognition rate and reduce the recognition time.关键词
字符识别/二维经验模式分解/边缘检测/模板匹配/BP神经网络Key words
character recognition/BEMD/image edge detection/template matching/BP neural network分类
交通工程引用本文复制引用
徐园园,吴生鑫,谭畅,黄嘉煜,刘东飞,张旭..基于模板匹配和神经网络车牌识别技术的研究[J].哈尔滨商业大学学报（自然科学版）,2017,33(1):89-93,5.
