Scholarlink

<p>Oracle bone inscriptions (OBIs) play a vital role in the digital preservation of human civilization, offering profound historical insights. However, its recognition faces significant challenges due to severe degradations, such as blurred strokes and complex geological noise, which generic end-to-end models struggle to disentangle. To address these issues, we propose Prism-OBI, an innovative two-stage, decoupled framework that explicitly separates spatial localization from fine-grained semantic classification. Specifically, we present a degradation-aware visual perception methodology that leverages signal decoupling, dynamic scale adaptation, and explicit spatial encoding to serve as a semantic filter, effectively isolating coherent strokes from background artifacts. Extensive experiments demonstrate that this decoupled paradigm mitigates the localization-classification trade-off, laying a solid foundation for the transferable analysis of diverse historical archives in digital humanities.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Prism-OBI: a novel framework for oracle bone inscription recognition via visual perception and feature decoupling

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月7日

查看全文
  • Jia Wen Li,
  • Jia Rui He,
  • Jing Ru Wu,
  • Jin Ming Liu,
  • Wei Bin Lin,
  • Yue Sheng Huang,
  • Lei Jun Wang,
  • Ju Jian Lv,
  • Xian Xian Zeng,
  • Rong Jun Chen

摘要

Oracle bone inscriptions (OBIs) play a vital role in the digital preservation of human civilization, offering profound historical insights. However, its recognition faces significant challenges due to severe degradations, such as blurred strokes and complex geological noise, which generic end-to-end models struggle to disentangle. To address these issues, we propose Prism-OBI, an innovative two-stage, decoupled framework that explicitly separates spatial localization from fine-grained semantic classification. Specifically, we present a degradation-aware visual perception methodology that leverages signal decoupling, dynamic scale adaptation, and explicit spatial encoding to serve as a semantic filter, effectively isolating coherent strokes from background artifacts. Extensive experiments demonstrate that this decoupled paradigm mitigates the localization-classification trade-off, laying a solid foundation for the transferable analysis of diverse historical archives in digital humanities.