用SSIM提升古币模具匹配准确率，助力考古研究
A High-Accuracy SSIM-based Scoring System for Coin Die Link Identification
- 基于结构相似性提出新评分方法，快速判断古币是否同模
- 在329张图像数据集上实现近乎完美的模具链接识别
- 公开首个可复现的古币配对数据集，适合考古与钱币学研究
古代钱币分析，尤其是同一模具铸造的币对识别，对考古学家和历史学者至关重要。目前该工作依赖人工比对，面对大量发现时效率极低甚至不可行。本文提出三项贡献：1）首个公开的标注古币图像数据集（329张），支持方法评测；2）新颖的基于SSIM的评分方法，显著优于现有技术；3）利用该评分评估聚类算法，实现近乎完美的模具链接识别。研究开放数据集，推动考古学与钱币学领域更高效工具的发展。
原文摘要 · Abstract (English)
The analyses of ancient coins, and especially the identification of those struck with the same die, provides invaluable information for archaeologists and historians. Nowadays, these die links are identified manually, which makes the process laborious, if not impossible when big treasures are discovered as the number of comparisons is too large. This study introduces advances that promise to streamline and enhance archaeological coin analysis. Our contributions include: 1) First publicly accessible labeled dataset of coin pictures (329 images) for die link detection, facilitating method benchmarking; 2) Novel SSIM-based scoring method for rapid and accurate discrimination of coin pairs, outperforming current techniques used in this research field; 3) Evaluation of clustering techniques using our score, demonstrating near-perfect die link identification. We provide datasets, to foster future research and the development of even more powerful tools for archaeology, and more particularly for numismatics.
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