首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于模板匹配和特征匹配的集装箱箱号识别算法
引用本文:陈超,牛王强,杜芃.基于模板匹配和特征匹配的集装箱箱号识别算法[J].上海海事大学学报,2019,40(1):65-70.
作者姓名:陈超  牛王强  杜芃
作者单位:上海海事大学物流科学与工程研究院
基金项目:上海市科学技术委员会科技创新行动计划(13dz1202800)
摘    要:为实现对集装箱箱号的正确识别,提出一种基于模板匹配和特征匹配的识别算法。对采集到的集装箱图像进行预处理,得到改善后的集装箱二值化图像;采用数学形态学操作使字符域连通,计算字符连通域的宽高比得到集装箱箱号区域;利用投影检测方法实现对箱号字符的分割;运用模板匹配算法与特征匹配算法相结合的分类方法对集装箱箱号字符进行识别。该算法用MATLAB进行编程,完成对集装箱箱号的自动定位、分割和识别。提出的方法可正确识别出集装箱箱号,识别率达到93%,识别时间为130~150 ms,可提高码头的工作效率。

关 键 词:集装箱    模板匹配    特征匹配    数学形态学    字符识别
收稿时间:2017/12/29 0:00:00
修稿时间:2018/4/3 0:00:00

Container code recognition algorithm based on template matching and feature matching
Abstract:In order to achieve correct recognition of container code, a recognition algorithm based on template matching and feature matching is proposed. The collected container pictures are preprocessed to obtain the improved container binary images; the mathematical morphological operation is used to connect the character domain, and the aspect ratio of the connected domain is calculated to get the container code area; the projection detection method is used to achieve character segmentation; the classification method combining the template matching algorithm and the feature matching algorithm is used to recognize the container code characters. The algorithm is programmed with MATLAB to achieve automatic positioning, segmentation and recognition of container codes. The proposed method correctly recognizes container codes, the recognition rate reaches 93%, and the identification time is between 130 ms and 150 ms. The method can improve the working efficiency of terminals.
Keywords:container  template matching  feature matching  mathematical morphology  character recognition
本文献已被 CNKI 等数据库收录!
点击此处可从《上海海事大学学报》浏览原始摘要信息
点击此处可从《上海海事大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号