[1] Huichuan Duan, Haibo Zhang, Shuguang Zhang, et al. Research on instrument digital recognition based on fuzzy theory. Instrument Technique and Sensor, 37-39(2004).
[2] Shuang Guo. Research on automatic identification method of nixie tube digital instrument. Communications Technology, 45, 37-39(2004).
[3] Weina Lu, Changrong Liu, Yucai Zheng, et al. A digital instrument character recognition method based on template matching. Modern Computer, 70-72, 86(2008).
[4] Suping Li. Digital instrument recognition technology based on image processing. Mechanicaland Electronical Engineer-ing, 19, 84-86, 90(2013).
[5] Akula A, Singh A, Ghosh R, et al. Target recognition in infrared imagery using convolutional neural wk[C]Proceedings of International Conference on Computer Vision Image Processing, 2017.
[6] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies f accurate object detection semantic segmentation[C]CVPR. IEEE, 2014.
[7] Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, realtime object detection[C]Computer Vision & Pattern Recognition. IEEE, 2016.
[8] Liu W, Anguelov D, Erhan D, et al. SSD: Single shot MultiBox detect[C]European Conference on Computer Vision. Springer International Publishing, 2016.
[9] Lin T Y, Dollar P, Girshick R, et al. Feature pyra wks f object detection[C] 2017 IEEE Conference on Computer Vision Pattern Recognition (CVPR). IEEE Computer Society, 2017.
[10] Lei Zhuo, Lv Zhou, Lihong Yang. Numeral recognition of calculator based on threading method. Software Engineering, 21, 1-3(2018).
[11] Jianping Lin, Yipeng Liao. Automatic recognition of digital instrument reading based on OpenCV and LSSVM. Microcomputer & its Applications, 36, 37-40(2017).
[12] Lanying. Han Ruizhi Guo, Xin Cheng. Digital instrument recognition method based on deformable convolutional neural network. Computer Science, 47, 187-193(2020).
[13] Jing Liu. Research on automatic character recognition of digital instrument based on image processing. Information Technology, 44, 84-87, 91(2020).
[14] J Redmon, A Farhadi. YOLOv3: An Incremental improvement. arXiv e-prints, 1804.02767(2018).
[15] An Gong, Yang Zhang, Yonghong Tang. Identification method of electric energy representation based on yolov3 network. Computer Systems & Applications, 29, 196-202(2020).
[16] He Peilin. Research application of reading recognition algithm f industrial instruments based on deep learning[D]. Chengdu: University of Electronic Science Technology of China, 2020. (in Chinese)
[17] Sen Wang, Kejian Yang. Research and implementation of image scaling algorithm based on bilinear interpolation. Techniques of Automation and Applications, 44-45, 35(2008).