As the oldest mature writing system in China,the recognition and learning of oracle bone scripts have garnered significant attention from various stakeholders.However,comprehensive systems for the recognition and learning of oracle bone scripts remain limited due to the diverse content of the characters and the noise present in the rubbings.The application of deep learning technology in recognizing and learning from oracle bone script images can effectively mitigate this issue.To address this challenge,we have developed a system based on a residual network model that integrates oracle bone recognition,querying,and learning.This system not only accurately identifies oracle bone scripts but also offers real-time querying and learning functionalities.Users can quickly access relevant information and acquire knowledge through the system,thereby providing technical support for the preservation and advancement of oracle scripts.
关键词
甲骨文字识别/残差网络/文字识别/深度学习
Key words
oracle bone recognition/residual network/character recognition/deep learning
维普
万方数据