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作 者:吴元君[1] 张婷[2] 雷惊鹏 WU Yuan-jun, ZHANG Ting, LEI Jing-peng(1 Anhui Finance and Trade Technology College, Hefei 230601, China; 2. Anhui University of Science and Technology, Hefei 230039, China; 3. Anhui National Defence Science and Technology College, Luan 237000, China)
机构地区:[1]安徽省安徽财贸职业学院,安徽合肥230601 [2]安徽大学计算机科学与技术学院,安徽合肥230039 [3]安徽国防科技学院,安徽六安237000
出 处:《电脑知识与技术》2007年第7期250-250,272,共2页Computer Knowledge and Technology
摘 要:本文将一种改进的OMR技术用于标准化考试中,采用与普通光学标记阅读机完全不同的技术,使用光学字符识别的方法、算法完成答题卡上标记的识别。此系统中图像识别是识别出考生填写的表示选项的“勾、×、○、●、/、/”等各种手写符号,它属于脱机手写体汉字识别。本文提出的方法具有很高的识别率。In the paper, we put forward the application of an improved OMR technology in standardization exam, differs from other system which is based on the optical mark recognition, the system adopt methods, algorithms of optical character recognition techniques to recognize the handwritten symbols on answer cards. So this systerm is to recognize all kinds of handwritten symbols written by examinee such as "勾、×、○、●、/、/", which is belongs to Off-Line Handwritten Chinese Character Recognition. The methods gain a high rate of correct identification.
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