摘要
文中主要以集装箱箱号识别为研究对象,在对现有的集装箱照片进行预处理以及定位的基础上,实现箱号的准确识别。主要论述影响字符识别各种关键因素,并且在传统模板匹配的基础上,提出全新的加权模板匹配法和字符结构相结合的识别方法。该方法并不是将36个字符用统一的模板进行匹配识别,而是根据字符结构进行分类,每类都会予以不同的权值分配模板。字符结构是一种二级识别,两种方法相结合很好地实现了对断裂、粘连以及倾斜字符的识别。最后通过理论分析和实验证明了该方法的有效性,并给出了需要进一步研究的问题。
Taking the recognition of container numbers as the research object,the accurate recognition of container num bers is realized on the basis of preprocessing and positioning of the existing container pictures. Various key factors affecting character recognition are mainly discussed. A new recognition method by combining the weighted template matching method with character structure is proposed on the basis of traditional template matching. In the method,it is not to use a unified template to conduct matching recognition of 36 characters. Instead,the characters are classified according to character structures,and each class is assigned a different weight assignment template. Character structure recognition is a kind of secondary recognition. The combination of the two methods can realize the recognition of broken,glued,and slanted characters. The effectiveness of the method is proved by means of theoretical analysis and experiment. The problems that need further study are given.
作者
马欣欣
李小平
MA Xinxin;LI Xiaoping(School of Mechanical Engineering,Lanzhou Jiaotong University,Lanzhou 730000,China)
出处
《现代电子技术》
北大核心
2019年第14期131-134,139,共5页
Modern Electronics Technique
基金
甘肃省中小企业创新基金(17CX1JA107)~~
关键词
集装箱箱号
字符识别
加权模板匹配法
字符结构
权值分配模板
字符定位
container number
character recognition
weighted template matching method
character structure
weight as signment template
character positioning
