直接从加密手写文献图象解密，跳过易错的转录步骤。
Joint Transcription and Decryption of Images of Encrypted Handwritten Documents: A Comparison with the Traditional Pipeline
- 端到端建模，图像直接映射为明文，避免转录误差传播。
- 在Copiale密文数据上，联合模型解密准确率显著优于传统两阶段方法。
- 适合历史密码文献自动解码、跨学科研究者使用。
历史加密手稿在密码学、语言学、古文字学与计算机视觉的交叉领域构成重大挑战。现有自动解密方法通常采用两阶段流程：先从手稿图像中转录密文符号，再进行解密。但该设计对转录错误敏感，误差会逐级传递至最终结果。本文提出直接图像解密（Direct Image Decryption），一种端到端方法，直接将加密手稿图像映射为明文，跳过中间转录阶段。以Copiale密文为例，构建了大规模合成密文训练数据生成管道，并对比传统流水线与所提联合架构。实验表明，联合图像到明文建模是传统基于转录流程的有力替代方案。
原文摘要 · Abstract (English)
Historical encrypted manuscripts present a challenging problem at the intersection of cryptology, linguistics, paleography, and computer vision. Current automatic decipherment approaches usually rely on a two-stage pipeline: transcription of cipher symbols from manuscript images, followed by decryption into plaintext. However, this design is sensitive to transcription errors, which propagate to the final output. We present Direct Image Decryption, an end-to-end approach that directly maps encrypted manuscript images to plaintext, bypassing the intermediate transcription stage. Using the Copiale cipher as a case study, we build a synthetic data generation pipeline to create large-scale cipher-like training data and compare the traditional pipeline with the proposed joint architecture. Results show that joint image-to-plaintext modeling is a promising alternative to traditional transcription-based pipelines.
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