activity
20192026
most citedICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents

35 citations · 62 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Leveraging Morphology for Historical Script Metrological Analysis

Malamatenia Vlachou Efstathiou, Raphaël Baena, Dominique Stutzmann +1

Advances in handwritten text recognition have enabled large-scale transcription of historical documents, but still provide limited access to interpretable visual measurements for p…

cs.CV2024

An Interpretable Deep Learning Approach for Morphological Script Type Analysis

Malamatenia Vlachou-Efstathiou, Ioannis Siglidis, Dominique Stutzmann +1

Defining script types and establishing classification criteria for medieval handwriting is a central aspect of palaeographical analysis. However, existing typologies often encounte…

cs.CV2020★ 27 cited

HORAE: an annotated dataset of books of hours

Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann +1

We introduce in this paper a new dataset of annotated pages from books of hours, a type of handwritten prayer books owned and used by rich lay people in the late middle ages. The d…

cs.CV2020

ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments

Mathias Seuret, Anguelos Nicolaou, Dominique Stutzmann +2

This competition succeeds upon a line of competitions for writer and style analysis of historical document images. In particular, we investigate the performance of large-scale retr…

cs.CV2019★ 35 cited

ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents

Vincent Christlein, Anguelos Nicolaou, Mathias Seuret +2

This competition investigates the performance of large-scale retrieval of historical document images based on writing style. Based on large image data sets provided by cultural her…