Artificial Intelligence for Calligraphic Writer Identification: The Case of Lope de Vega’s Autographs
This paper presents a computational approach for detecting the calligraphic footprint of a scribe in a large documentary corpus. The system leverages advances in HTR (Handwritten Text Recognition) techniques, usually employed for automatic transcription, but on this occasion used to locate the spec...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto de Estudios Auriseculares (IDEA)
2025-06-01
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| Series: | Hipogrifo: Revista de Literatura y Cultura del Siglo de Oro |
| Online Access: | https://www.revistahipogrifo.com/index.php/hipogrifo/article/view/1541 |
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