PGC-Net: A Light Weight Convolutional Sequence Network for Digital Pressure Gauge Calibration
文献类型：期刊论文
| 作者 | Li, Lei3; Li, Yong1,2; Lian, Kechao3; Bian, Xiaoyu3; Yang, Kuan3; Tian, Yongzhi3 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2019 |
| 卷号 | 7页码:123280-123288 |
| 关键词 | Digital pressure gauge calibration automatic meter reading sequence text recognition light weight CNN digital gauge dataset |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2019.2938106 |
| 英文摘要 | Automatic digital pressure gauge calibration is challenging due to various unconstrained conditions. Although existing CNN-RNN based methods have been almost perfect on scene text recognition, they fail to perform well on digital pressure gauge calibration that requires to be extremely computation-efficient and accurate. In this paper, we propose a light weight fully convolutional sequence recognition network for fast and accurate digital Pressure Gauge Calibration (PGC-Net). PGC-Net integrates feature extraction, sequence modelling and transcription into a unified framework. Experimental results show that PGC-Net runs 28 fps on CPU with 97.41% accuracy. Compared with previous methods, PGC-Net achieves better or comparable performance at lower inference time. Without bells and whistles, PGC-Net is capable of recognizing decimal points that usually appear in pressure gauge images, which evidently verifies the feasibility of PGC-Net. We collected a dataset that contains 17, 240 gauge images with annotated labels for automatic digital pressure gauge calibration. The dataset has been public for future research. |
| 资助项目 | National Science Foundation of China[61505178] ; Henan Provincial Key Science and Technology Research Project[162102210018] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000487832600013 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/4680]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Li, Yong |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100049, Peoples R China 3.Zhengzhou Univ, Sch Phys & Engn, Zhengzhou 450001, Henan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Lei,Li, Yong,Lian, Kechao,et al. PGC-Net: A Light Weight Convolutional Sequence Network for Digital Pressure Gauge Calibration[J]. IEEE ACCESS,2019,7:123280-123288. |
| APA | Li, Lei,Li, Yong,Lian, Kechao,Bian, Xiaoyu,Yang, Kuan,&Tian, Yongzhi.(2019).PGC-Net: A Light Weight Convolutional Sequence Network for Digital Pressure Gauge Calibration.IEEE ACCESS,7,123280-123288. |
| MLA | Li, Lei,et al."PGC-Net: A Light Weight Convolutional Sequence Network for Digital Pressure Gauge Calibration".IEEE ACCESS 7(2019):123280-123288. |
入库方式： OAI收割
来源：计算技术研究所
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