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手写文本识别的进步和挑战:一个全面的调查

Wissam AlKendi¹, Franck Gechter¹, Laurent Heyberger²

¹CIAD, UMR 7533, UTBM, F-90010 Belfort, France.

Journal of imaging

|January 22, 2024

概括

这项研究调查了法国历史文件的手写文本识别 (HTR) 系统,如贝尔福特民事登记册. 它确定了挑战,并提出了研究方向,以准确地转录独特的档案.

科学领域:

计算机科学计算机科学
数字人文学科数字人文学科
档案科学档案科学

背景情况:

手写文本识别 (HTR) 对于数字化历史文档至关重要.
法国民事登记册面临着独特的挑战,例如手写和注释的多样性.
现有的HTR系统需要对专门的历史数据集进行评估.

研究的目的:

调查法国手写文本的现代和历史的HTR系统.
确定挑战,并提出未来的研究方向,转录法国历史文档.
为提供HTR研究和基准数据集的最新概述.

主要方法:

在国际和法国数据集中对HTR系统进行文献审查.
按技术,数据集,出版年份和识别级别分类的HTR系统.
分析了系统的准确性,并展示了商业HTR系统的性能.
总结了公开可用的HTR数据集,包括ICDAR和ICFHR基准.

主要成果:

确定了翻译法国历史文件的关键挑战,包括贝尔福特民事登记册.
介绍了HTR系统性能的比较分析,突出了顶级方法.
展示了当前商业HTR解决方案的功能.
为基准测试提供了相关HTR数据集的全面列表.

结论:

该调查提供了对法国历史文档HTR技术的最新情况的清晰概述.
确定了研究缺口和潜在的未来方向,以提高转录精度.
强调对独特的档案材料需要专门的HTR方法.

关键词:

贝尔福特出生登记的民事登记册.在HTR数据集中,HTR数据集包含了HTR数据集.在ICDAR中,它是ICDAR.国际人权联盟 (ICFHR) 的人权联盟.手写文本识别 (HTR) 是一种手写文本识别技术.机器学习是机器学习.

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