TY - GEN
T1 - Research on Automatic Segmentation and Recognition of Single Characters of Original Topography in Intelligent Recognition of Oracle Bone Inscriptions
AU - Lv, Minghang
AU - Bo, Siqi
AU - Li, Fuli
AU - Wu, Pengjie
AU - Xiong, Zicheng
N1 - Publisher Copyright:
© 2024 SPIE.
PY - 2024
Y1 - 2024
N2 - Intelligent recognition technology, as an important technical tool, has played a significant role in many fields. In this paper, for the issue of oracle bone image processing, we first conducted image pre-processing, including size adjustment, normalization, and data enhancement steps, to improve image quality and highlight the oracle bone information. Then, the YOLOv5 model is utilized for oracle bone image segmentation, achieving high recognition accuracy after 50 epochs of training. Finally, the model was employed to automatically segment the original oracle bone topography images for individual characters, with an average processing time of only 810.8ms, demonstrating efficient processing speed. In total, 1447 oracle bones were automatically detected and segmented, achieving a high level of accuracy.
AB - Intelligent recognition technology, as an important technical tool, has played a significant role in many fields. In this paper, for the issue of oracle bone image processing, we first conducted image pre-processing, including size adjustment, normalization, and data enhancement steps, to improve image quality and highlight the oracle bone information. Then, the YOLOv5 model is utilized for oracle bone image segmentation, achieving high recognition accuracy after 50 epochs of training. Finally, the model was employed to automatically segment the original oracle bone topography images for individual characters, with an average processing time of only 810.8ms, demonstrating efficient processing speed. In total, 1447 oracle bones were automatically detected and segmented, achieving a high level of accuracy.
KW - Intelligent recognition technology
KW - YOLOv5
KW - image processing
KW - utomatically segment
UR - https://www.scopus.com/pages/publications/85204775176
U2 - 10.1117/12.3041507
DO - 10.1117/12.3041507
M3 - 会议稿件
AN - SCOPUS:85204775176
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - International Conference on Advanced Image Processing Technology, AIPT 2024
A2 - Leng, Lu
A2 - Shi, Zhenghao
PB - SPIE
T2 - 2024 International Conference on Advanced Image Processing Technology, AIPT 2024
Y2 - 31 May 2024 through 2 June 2024
ER -