Image Recognition Technology Improves the Efficiency of Historical Drawing Management in Archives
Jing Li, Lijuan Duan, Hui Wang, Wenjie Ma · 2024
The archive faces a substantial workload in manually recognizing and renaming a large number of scanned historical drawings. This paper proposes an automated solution based on image recognition technology to improve the efficiency of drawing management. The system utilizes OCR (Optical Character Recognition) and computer vision technologies to automatically identify drawing information and rename the files, thereby reducing manual operations and enhancing work efficiency.