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作 者:李奇超 马波 伍弘 张锐 LI Qichao;MA Bo;WU Hong;ZHANG Rui(Power Research Institute of State Grid Ningxia Electric Power Co.Ltd,Yinchuan Ningxia 750011,China)
机构地区:[1]国网宁夏电力有限公司电力科学研究院,宁夏银川750011
出 处:《宁夏电力》2020年第2期53-57,共5页Ningxia Electric Power
摘 要:受铭牌类型、字符倾斜和字符组合形式等因素影响,普通文字识别软件在对设备铭牌字符信息扫描录入时,其识别率和准确率较低。针对此问题开发并实现1种设备铭牌字符识别系统。通过对不同厂家30多种类型设备铭牌字符识别处理,得到铭牌字符识别结果。结果表明,该系统对铭牌字符整体识别率和准确率较高,部分字段识别准确率达100%,具有很好的稳定性和鲁棒性。Affected by factors such as nameplate type,character tilt,and character combination form,the common text recognition software has a low recognition rate and accuracy when scanning and entering device nameplate character information.In response to this problem,a device nameplate character recognition system was developed and implemented.Through the nameplate character recognition processing of more than 30 types of equipment from different manufacturers,the nameplate character recognition results are obtained.The results show that the overall recognition rate and accuracy of the nameplate characters are high,and the recognition accuracy of some fields is up to 100%,which has good stability and robustness.
分 类 号:TP302[自动化与计算机技术—计算机系统结构]
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