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<p>Squeezes are three-dimensional paper impressions made of stone inscriptions, a form of historical document where digital processing methods have received relatively little study to date. This paper reports on experiments in text recognition, working with a collection of approximately 30,000 squeezes originally collected from museums and archaeological sites in classical Greece. It explores a number of complementary strategies for character recognition in this medium, with the aim of establishing a strong benchmark in performance. Based on these experiments, we identify a recognition pipeline based on scene text recognition algorithms combined with line-based recognition that achieves a character error rate around 13%.</p>

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Character recognition for Greek squeezes

  • 期刊论文

  • 发表日期：

    2025年6月30日

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  • Nicholas R. Howe,
  • Feiran Chang,
  • Isabella Falbo,
  • Tajhini Brown,
  • Aaron Hershkowitz

摘要

Squeezes are three-dimensional paper impressions made of stone inscriptions, a form of historical document where digital processing methods have received relatively little study to date. This paper reports on experiments in text recognition, working with a collection of approximately 30,000 squeezes originally collected from museums and archaeological sites in classical Greece. It explores a number of complementary strategies for character recognition in this medium, with the aim of establishing a strong benchmark in performance. Based on these experiments, we identify a recognition pipeline based on scene text recognition algorithms combined with line-based recognition that achieves a character error rate around 13%.