| Autor: |
WANG Yifan, WANG Jiayu, ZHONG Linlin, GAO Bingtuan |
| Jazyk: |
čínština |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
电力工程技术, Vol 41, Iss 5, Pp 210-218 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2096-3203 |
| DOI: |
10.12158/j.2096-3203.2022.05.026 |
| Popis: |
There is abundant information in power equipment nameplates. Extracting information from nameplates through image and text recognition technology enables the high effective and quick works on statics and account check of power equipment,which is also beneficial to improve the equipment management level of power system. Considering the great difference of text recognition between power equipment nameplates and ordinary images,an algorithm of automatic recognition of power equipment nameplates based on deep learning is proposed in this paper. This algorithm consists of three parts,namely nameplate detection,text detection and text recognition. By improving the design of loss functions,adding the correction of text recognition,and synthesizing text images,the mean average precision of the nameplate detection model on the test set reaches 92.2%,the F1 of the text detection model on the test set reaches 91.2%,and the character recognition accuracy rate of the text recognition model reaches 94.0%,the text line recognition accuracy rate of the text recognition model reaches 82.3%. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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