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古籍图像智能处理:数据、方法与展望

Intelligent Processing of Historical Document Images: Data, Methods, and Challenges

  • 摘要: 古籍文献承载着中华文明数千年的知识积淀,其数字化保护与智能化利用已成为文化遗产传承的重要问题。本文系统梳理中文古籍图像智能处理的研究进展,重点概述数据集构建、图像增强与修复、文字识别与智能理解3个代表性研究方向的技术现状,并总结数据稀缺、跨域泛化、评测标准、结果可信等方面的挑战,对未来技术发展趋势进行讨论与展望。

     

    Abstract: Chinese historical documents embody the accumulated knowledge of Chinese civilization over several millennia, and their digital preservation and intelligent utilization have become urgent tasks in cultural heritage conservation. This article systematically reviews recent progress in the intelligent processing of Chinese historical document images, with a focus on three representative research directions: dataset construction, image enhancement and restoration, and character recognition with intelligent understanding. It also summarizes major challenges such as data scarcity, cross-domain generalization, evaluation standards, and output reliability, and discusses possible future directions and trends in technological development.

     

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