Article Details

Abstract

With the rapid economic and social development in China, more and more cable materials are produced and preserved for construction, but the large number of cable materials poses a serious challenge to the statistics and management of managers. This paper researches an efficient cable material label recognition model to solve the problems of inefficiency and error-prone nature in the cable management process. Image preprocessing is carried out by using Grayscale Image Processing, Binarized Image, Morphological Processing, Connectivity Domain Labeling, Edge Detection and other image processing techniques, and then OCR is used to extract text information so as to save effective information. The experimental results show that the proposed method performs well in label recognition, and the accuracy of label text information recognition reaches 95%. This research provides practical and technical support for the automated management of cable materials, and also provides an important reference for further research in related fields.

Keywords

image processing; PaddleOCR; automated management

References

1. [1] Yang Zhimin, Chen Yitong, Wu Guilong, etc Research on deep learning based identification of power communication fiber optic wiring labels [J]. Electric Power Information and Communication Technology, 2022, 20 (4): 18-23
2. [2] Liu Liyuan, Liu Hongzhan Research on Image Recognition of Instrument Information in Complex Background [J]. Laser Journal, 2020, 41 (4): 66-69
3. [3] Cao Jing, Chen Kang, Qi Ning, etc Automatic review method for stamped document images based on OCR and image detection [J]. Chinese Journal of Applied Sciences, 2023, 41 (6): 1058-1067
4. [4] Qi Wen, Liu Xiaoyun, Wang Jianwen, etc Research on the Method of Recognizing Leveling Scale Verification Certificate Based on PaddleOCR [J]. Surveying and Spatial Geographic Information, 2024, 47 (9): 188-191+196
5. [5] Luo Yingkun Research and Implementation of Steel Pipe Label Information Recognition Based on Deep Learning [D]. Tianjin: Tianjin University of Technology, 2022
6. [6] Gu Meihua, Wang Miaomiao, Li Liyao, etc Multi scale fusion grayscale algorithm for color images [J]. Computer Engineering and Applications, 2021, 57 (4): 209-215
7. [7] SINGH A，PATEL A，RAI A，et al. Face Detection Using Python and OpenCV [J].International Journal of Advances in Engineering and Management（IJAEM），2022，4（4）：889-891.
8. [8] Shi Teng, Xu Fengfeng, Chen Peng, etc Research on Multi type Damage Detection Method for Wind Turbine Blades Based on Machine Vision [J]. Journal of Solar Energy, 2024, 45 (6): 487-494
9. [9] LIU S P，XIAN Y T，LI H F，et al. Text Detection in Natural Scene Images Using Morphological Component Analysis and Laplacian Dictionary [J].IEEE/CAA Journal of Automatica Sinica，2020，7（1）：214-222.
10. [10] Jin Pengxiang, Liu Yisheng Machine vision based method for recognizing yarn ends in spools [J]. Journal of Zhejiang University of Technology: Natural Science, 2024, 51 (1): 112-119
11. [11] Chen Weibin Selection and Extraction of Classification Features for Bird Images [J]. Journal of Changjiang University: Natural Science Edition, 2009, 6 (4): 265-267
12. [12] Zhang Junqiu, Zhao Jianguang, Li Xiaolei, etc Research on Lane Line Recognition Technology Based on Image Processing [J]. Changjiang Information and Communication, 2022, 35 (8): 130-132

About the authors

Jin Yongchuan (1976-), male, Han ethnicity, from Fushun, Liaoning, is a senior engineer with a master's degree. His research interests include intelligent supply chain and warehouse management; Sun Wenzhong (1982-), male, Han ethnicity, from Benxi, Liaoning, is a senior engineer with a master's degree. His research focuses on smart supply chain; Wang Guanyu (1989-), male, Han ethnicity, from Anshan, Liaoning, is a deputy senior engineer with a master's degree. His research direction is material quality supervision and management; Qu Guodong (1990-), male, Han nationality, from Fengcheng, Liaoning, engineer, master's degree, research direction: material quality supervision and management; Chen Wenhao (1986-), male, Han ethnicity, from Shenyang, Liaoning Province, engineer, master's degree, research direction: warehouse management; Ji Zhongjun (1969-), male, Han ethnicity, from Dandong, Liaoning, is a senior engineer with a master's degree. His research direction is warehouse management.