电测与仪表2023，Vol.60Issue(12)：176-181,6.DOI:10.19753/j.issn1001-1390.2023.12.026
基于改进PSENet与CRNN网络的智能电能表文本识别技术研究
Research on scene text recognition technology of smart meter based on improved PSENet and CRNN network
摘要
Abstract
The continuous development and intelligence of the power grid system have brought huge measurement needs,and smart meters are widely laid as the main measurement equipment.However,the information of the meters carried by smart meters of different brands,models and batches is also very different.Non-intelligent artificial information collection has seriously hindered the upgrading and development of measurement infrastructure and collection security,and restricted the quality and level of power asset management.In this paper,the text recognition technology is applied to the informa-tion collection process of smart meters.A two-stage system is designed to detect and identify the text information in the photos of the meters,which realizes intelligent collection of meter information and improves the efficiency and safety of in-formation extraction of smart meters.The two-stage system in this paper includes a text detection module and a text recog-nition module.The text detection module detects the text position in the meter picture through the improved PSENet net-work,and the text recognition module identifies the detected text box through the CRNN network.The algorithm itself is not constrained by the quality of the input image and the scene,and it has strong anti-interference ability to the problems of different font sizes,too high or too low exposure for text detection and recognition in smart meters.And the recognition accuracy for Chinese characters,English and numbers in the meter picture is very high.关键词
电能表信息提取/两阶段/PSENet/CRNNKey words
electricity meter information extraction/two-stage/PSENet/CRNN分类
信息技术与安全科学引用本文复制引用
魏伟,苏津磷,李帆,仇娟,于秀丽..基于改进PSENet与CRNN网络的智能电能表文本识别技术研究[J].电测与仪表,2023,60(12):176-181,6.基金项目
国网湖北省电力有限公司科技项目(521532180034) （521532180034）
