3 papers
cs.CL2026
Entity-Aware Evaluation of OCR Systems for Historical Document Transcription
Camilo Mari{ñ}o, Camilo Mariño, Diego Belzarena +5
Optical Character Recognition (OCR) is essential for digitizing historical archives, yet standard evaluation metrics such as Character Error Rate (CER) do not necessarily reflect w…
cs.CV2026
When Low CER is Not Enough: An Analysis of Hallucinations in Vision-Language OCR Systems on Historical Uruguayan Documents
Marina Gardella, Camilo Mari{ñ}o, Camilo Mariño +5
Optical Character Recognition (OCR) is a key component in the digitization of historical archives. Recently, Vision-Language Models (VLMs) have emerged as strong alternatives to tr…
cs.CV2025
Improving OCR using internal document redundancy
Diego Belzarena, Seginus Mowlavi, Aitor Artola +9
Current OCR systems are based on deep learning models trained on large amounts of data. Although they have shown some ability to generalize to unseen data, especially in detection…