Due to the large number, complex shapes, and diverse fonts of oracle bone inscriptions, traditional manual identification methods are inefficient and prone to errors. Therefore, computer vision technology is needed for automated detection and recognition. In recent years, scholars at home and abroad have conducted extensive research on the automated detection and recognition of oracle bone inscriptions. Among them, there are mainly the following methods:


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