提出新指标自动比对古手稿密文字母表，助力密码破译。
Structured Analysis and Comparison of Alphabets in Historical Handwritten Ciphers
- 设计CSI度量标准，量化比较密文字母表相似性。
- 在无监督聚类中验证，视觉特征提升分组准确率。
- 适合历史密码学研究者与数字人文学者使用。
历史密文手稿常用于军事、外交或秘密社团的敏感通信，通过组合数字、炼金符号及拉丁/希腊字符等创造独特书写体系。研究新密文时，自动识别并归类具有相似字母表的文档，可显著提升转写与破译效率。本文提出新型度量标准CSI，用于比较两份密文手稿的字母表相似性，并在无监督聚类任务中评估其效果，采用SIFT、预训练嵌入及OCR描述符等视觉特征进行分析。
原文摘要 · Abstract (English)
Historical ciphered manuscripts are documents that were typically used in sensitive communications within military and diplomatic contexts or among members of secret societies. These secret messages were concealed by inventing a method of writing employing symbols from diverse sources such as digits, alchemy signs and Latin or Greek characters. When studying a new, unseen cipher, the automatic search and grouping of ciphers with a similar alphabet can aid the scholar in its transcription and cryptanalysis because it indicates a probability that the underlying cipher is similar. In this study, we address this need by proposing the CSI metric, a novel way of comparing pairs of ciphered documents. We assess their effectiveness in an unsupervised clustering scenario utilising visual features, including SIFT, pre-trained learnt embeddings, and OCR descriptors.
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