Affiliation:
1. School of Software Engineering, Anyang Normal University, Anyang 455000, China
2. Henan Province Oracle Bone Culture Intelligent Industry Engineering Research Center, Anyang 455000, China
Abstract
Ancient Chinese characters known as oracle bone inscriptions (OBIs) were inscribed on turtle shells and animal bones, and they boast a rich history dating back over 3600 years. The detection of OBIs is one of the most basic tasks in OBI research. The current research aimed to determine the precise location of OBIs with rubbing images. Given the low clarity, severe noise, and cracks in oracle bone inscriptions, the mainstream networks within the realm of deep learning possess low detection accuracy on the OBI detection dataset. To address this issue, this study analyzed the significant research progress in oracle bone script detection both domestically and internationally. Then, based on the YOLOv8 algorithm, according to the characteristics of OBI rubbing images, the algorithm was improved accordingly. The proposed algorithm added a small target detection head, modified the loss function, and embedded a CBAM. The results show that the improved model achieves an F-measure of 84.3%, surpassing the baseline model by approximately 1.8%.
Funder
Special Project for Cultural Research of Henan Xing Culture Engineering
National Natural Science Foundation—Henan Province Joint Fund
China Association of Higher Education
Anyang City Science and Technology Research Project
Reference26 articles.
1. Distinguishing oracle variants based on the isomorphism and symmetry invariances of oracle-bone inscriptions;Gao;IEEE Access,2020
2. Module structure detection of oracle characters with similar semantics;Jiao;Alex. Eng. J.,2021
3. Recognition of oracle bone inscriptions by using two deep learning models;Fujikawa;Int. J. Digit. Humanit.,2023
4. Dynamic dataset augmentation for deep learning-based oracle bone inscriptions recognition;Yue;ACM J. Comput. Cult. Herit.,2022
5. Xiaosong, S., Yongjie, H., and Yongge, L. (2016, January 3–5). Text on Oracle rubbing segmentation method based on connected domain. Proceedings of the 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Xi’an, China.