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重轨生产线钢坯字符识别方法
引用本文:杨义军,洪汉玉,章秀华,王逸文,俞喆俊.重轨生产线钢坯字符识别方法[J].武汉工程大学学报,2012,34(5):64-67,72.
作者姓名:杨义军  洪汉玉  章秀华  王逸文  俞喆俊
作者单位:1. 武汉工程大学图像处理与智能控制实验室,湖北武汉,430205
2. 北京科技大学数理学院,北京,100083
基金项目:国家自然科学基金项目(50975211,61175013);武汉市科技攻关项目(200810321164);湖北省自然科学基金(2010CDB11107);武汉市学科带头人计划项目(Z201051730001)
摘    要:针对重轨生产线钢坯支支跟踪的需求,研究了一种基于计算机视觉的钢坯字符识别方法.该识别方法对在线采集到的钢坯字符图像采用基于最大类间方差的多级分割滤波与聚类处理突出字符目标区域,从而精准定位出钢坯字符;采用基于智能多代理者的切分算法来完成钢坯字符的精确切分;采用模板匹配与结构特征识别相结合的多级识别方法来正确识别出钢坯字符.实验结果表明所提出的算法能正确快速地识别出钢坯号字符.

关 键 词:字符定位  字符切分  字符识别

Recognition of billet character in heavy rail production line
Authors:YANG Yi-jun  HONG Han-yu  ZHANG Xiu-hua  WANG Yi-wen  YU Zhe-jun
Affiliation:YANG Yi-jun1,HONG Han-yu1,ZHANG Xiu-hua1,WANG Yi-wen2,YU Zhe-jun1(1.Laboratory of Image Processing and Intelligent Control,Wuhan Institute of Technology,Wuhan 430205,China; 2.School of mathematics and physics,University of Science Technology Beijing,Beijing 100083,China)
Abstract:To meet the demand of tracking each billet in the heavy rail production line,a billet character recognition algorithm based on computer vision was proposed.Firstly,multistage segmentation filtering based on OTSU and clustering processing was adopted to locate the billet character precisely.Secondly,the segmentation algorithm based on intelligent multi-agent was used to divide the billet character accurately.Lastly,the multilevel recognition algorithm incorporation the template matching and feature recognition was used to recognize billet character correctly.The experimental results show that the proposed algorithm in this paper can recognize the billet character correctly and quickly.
Keywords:character location  character segmentation  character recognition
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