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From the 1 of 8 linked papers with an AI index.

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8 papers

cs.CV2026

Theatre Chapbooks At Scale: A Statistical Comparative Analysis of Typography

Diego Belzarena, Seginus Mowlavi, Paula Casariego Castiñeira +3

The paper introduces a statistical method to automatically compare typefaces in printed historical books, using clustered character prototypes and a significance framework, and dem…

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, Diego Belzarena +3

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.CV2026

TRAS: An Interactive Software for Tracing Tree Ring Cross Sections

Henry Marichal, Diego Passarella, Gregory Randall

Tree ring marking remains a key step in dendrometry and dendrochronology, but it is often performed manually, making the process time-consuming, subjective, and difficult to scale…

cs.CV2026

Implementation and discussion of the Pith Estimation on Rough Log End Images using Local Fourier Spectrum Analysis method

Henry Marichal, Diego Passarella, Gregory Randall

In this article, we analyze and propose a Python implementation of the method "Pith Estimation on Rough Log End images using Local Fourier Spectrum Analysis", by Rudolf Schraml and…

cs.CV2025

UruDendro4: A Benchmark Dataset for Automatic Tree-Ring Detection in Cross-Section Images of Pinus taeda L

Henry Marichal, Joaquin Blanco, Diego Passarella +1

Tree-ring growth represents the annual wood increment for a tree, and quantifying it allows researchers to assess which silvicultural practices are best suited for each species. Ma…

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…