在棕树叶文档中对文本行细分的基准数据集
Remya Sivan1, Peeta Basa Pati2
1Department of Computer Science and Engineering Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru, 560035, Karnataka, India.
Scientific data
|February 11, 2026
概括
数字化历史棕叶手稿对于保存知识至关重要. 一个新的数据集,LeafOCR-Line,有助于对文字行进行细分,以更好地数字化手稿,解决诸如恶化和各种脚本等挑战.
科学领域:
- 数字人文学科 数字人文学科
- 信息科学 信息科学 信息科学
- 保护文化遗产 保护文化遗产
背景情况:
- 棕树叶手稿代表了南亚和东南亚的重要历史写作媒介,包含了跨学科的广泛知识.
- 这些宝贵的手稿容易因老化和环境因素而退化,需要紧急的保存工作.
- 数字化对于保护和传播这些古文中所包含的知识至关重要.
研究的目的:
- 为了解决缺乏用于棕叶手稿数字化的多样化数据集的问题.
- 改进文本行细分和识别,以提高数字化性能.
- 为历史文档分析领域的研究人员提供一个有价值的资源.
主要方法:
- 开发了LeafOCR-Line,这是一个新型数据集,包含1710条面具棕叶手稿文本行.
- 在数据集中包含每个手稿的恶化程度注释.
- 进行广泛的实验以验证数据集的质量和实用性.
主要成果:
- LeafOCR-Line数据集为棕树叶文本行细分提供了多样化和注释资源.
- 实验结果证实了拟议数据集的高质量和实际适用性.
- 该数据集促进了对历史手稿更强大,更准确的数字化研究.
结论:
- LeafOCR-Line是对棕叶手稿数字化领域的重要贡献.
- 该数据集将成为一个有价值的公共资源,用于推进文本行细分和识别方面的研究.
- 预计LeafOCR-Line的可用性将加速保存和访问历史亚洲知识的进展.
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