稿:使

Merouane Boudraa1, Akram Bennour1, Mouaaz Nahas2

  • 1Laboratory of Mathematics, Informatics and Systems (LAMIS), Echahid Cheikh Larbi Tebessi University, Tebessa 12000, Algeria.

Journal of imaging
|June 25, 2025
PubMed
概括

这项研究引入了一个使用视觉转换器识别历史手稿作者的深度学习系统. 该方法增强了历史文档分析和作者识别准确度.

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