用生成模型和水印保护扫描签名，确保一签一号防复制。
AuthSig: Safeguarding Scanned Signatures Against Unauthorized Reuse in Paperless Workflows
- 通过生成模型微调风格嵌入隐写水印，实现签名唯一性。
- 在数字失真和打印扫描场景下水印提取准确率超98%。
- 针对数据少问题提出关键点驱动增强法，提升风格多样性。
随着无纸化流程的深入，电子签名逐渐取代传统墨迹签名。尽管存在动态压力感应和PKI数字签名，静态扫描签名因便捷仍广泛使用，但其已丧失可靠验证能力，易被恶意复制重用。为此，我们提出AuthSig，一种基于生成模型与水印的静态电子签名框架，将认证信息绑定至签名图像。利用人眼对细微风格变化不敏感的特点，该框架在生成过程中精细调节风格嵌入，隐式编码水印比特，强制执行“一签一号”策略。为克服手写签名数据稀缺及传统增强方法局限，我们引入关键点驱动的数据增强策略，有效提升风格多样性以支持鲁棒水印嵌入。实验表明，AuthSig在数字域失真和签名特异性退化下水印提取准确率超过98%，并在打印-扫描场景中仍保持有效性。
原文摘要 · Abstract (English)
With the deepening trend of paperless workflows, signatures as a means of identity authentication are gradually shifting from traditional ink-on-paper to electronic formats.Despite the availability of dynamic pressure-sensitive and PKI-based digital signatures, static scanned signatures remain prevalent in practice due to their convenience. However, these static images, having almost lost their authentication attributes, cannot be reliably verified and are vulnerable to malicious copying and reuse. To address these issues, we propose AuthSig, a novel static electronic signature framework based on generative models and watermark, which binds authentication information to the signature image. Leveraging the human visual system's insensitivity to subtle style variations, AuthSig finely modulates style embeddings during generation to implicitly encode watermark bits-enforcing a One Signature, One Use policy.To overcome the scarcity of handwritten signature data and the limitations of traditional augmentation methods, we introduce a keypoint-driven data augmentation strategy that effectively enhances style diversity to support robust watermark embedding. Experimental results show that AuthSig achieves over 98% extraction accuracy under both digital-domain distortions and signature-specific degradations, and remains effective even in print-scan scenarios.
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