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基于Canny算子的IC卡字符边缘检测及分割的研究 被引量:6

IC Card Characters Edge Detection and Segmentation Based on Canny Operator
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摘要 针对IC卡压印字符的表面特征,边缘检测算子的选取并得到精准凹凸字符信息是图像处理的关键。利用Canny算子提取凹凸字符的边缘特征,并利用几种经典的边缘检测算子对Canny算子效果进行检验,得出Canny算子对卡片字符的边缘检测有相当好的结果。同时,根据字符图像的边缘检测结果,选取阈值参数对字符图像进行分割得到单个字符的二值化图像和灰度直方图。较传统的二值化分割方法相比,取得了满意效果。并提高了字符的识别率。 It is the key to image processing to select the appropriate edge detection operator and get the precision concavity and convex character information for the surface features of IC card concavity characters.The Canny operator is used to extract the edge features of bump characters.And through several classic edge detection operators to verify- the effect of Canny operator,verify that the Canny operator is an effective edge detection method.According to the edge detection results of the Canny operator,the threshold image is selected to segment the character image to obtain the histogram of the binafized image.Compared with the tradi- tional binarization method, the satistaetory results are obtained.And improve the recognition rate of characters.
作者 郑鹏 王雨 苑泽伟 ZHENG Peng;WANG Yu;YUAN Ze-wei(School of Mechanical Engineering,Shenyang University of Technology,Shenyang,Liaoning 110870)
出处 《计算技术与自动化》 2018年第3期118-121,共4页 Computing Technology and Automation
基金 辽宁省科技创新重大专项项目(2015106022)
关键词 IC卡 CANNY算子 边缘检测 字符分割 IC card Canny operator Edge detection Character Segmentation
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  • 1苏金玲,王朝晖.基于Graph Cut和超像素的自然场景显著对象分割方法[J].苏州大学学报(自然科学版),2012,28(2):27-33. 被引量:7
  • 2曹建海,路长厚.基于灰度图像和矢量的圆心定位[J].光电子.激光,2004,15(6):714-718. 被引量:11
  • 3吴一全,朱兆达.图像处理中阈值选取方法30年(1962—1992)的进展(二)[J].数据采集与处理,1993,8(4):268-282. 被引量:96
  • 4路长厚,曹建海,李学勇,李建美.金属标牌中压印凹凸字符质量的在线检测研究[J].机械工程学报,2005,41(2):87-91. 被引量:7
  • 5张便利,常胜江,李江卫,熊涛,郜洪云,申金媛,张延炘.实现虚拟输出队列调度的神经网络方法[J].光电子.激光,2005,16(11):1316-1320. 被引量:3
  • 6Malisia A R, Tizhoosh H R. Image thresholding using ant colony optimization [C]//Proceedings of the 3rd Canadian Conference on Computer and Robot Vision, Waterloo, 2006: 26-31.
  • 7Lei B, Fan J L. Parameter selection of generalized fuzzy entropy-based thresholding segmentation method with particle swarm optimization [C] //Proceedings of International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Harbin, 2008: 901-904.
  • 8Hammouche K, Diaf M, Siarry P. A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation [J]. Computer Vision and Image Understanding, 2008, 109(2):163-175.
  • 9Tao W B, Tian J W, Liu J. Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm [J]. Pattern Recognition Letters, 2003, 24 (16) : 3069-3078.
  • 10Zhao X, Lee M E, Kim S H. Improved image thresholding using ant colony optimization algorithm [C] //Proceedings of International Conference on Advanced Language Processing and Web Information Technology, Dalian, 2008:210-215.

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