10 citations · 17 across the 6 of their papers we have counts for
4 papers · 1 filter
BullingerDB: A Dataset for Handwritten Text Recognition and Writer Retrieval
Marco Peer, Anna-Scius Bertrand, Patricia Scheurer +1
We present BullingerDB, a large-scale benchmark dataset for historical document analysis based on the correspondence of Heinrich Bullinger (1504-1575). The corpus comprises 20,898…
Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models
Anna Scius-Bertrand, Michael Jungo, Lars Vögtlin +2
Classifying scanned documents is a challenging problem that involves image, layout, and text analysis for document understanding. Nevertheless, for certain benchmark datasets, nota…
Impact of Ground Truth Quality on Handwriting Recognition
Michael Jungo, Lars Vögtlin, Atefeh Fakhari +4
Handwriting recognition is a key technology for accessing the content of old manuscripts, helping to preserve cultural heritage. Deep learning shows an impressive performance in so…
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis
Lars Vögtlin, Anna Scius-Bertrand, Paul Maergner +2
Deep learning methods have shown strong performance in solving tasks for historical document image analysis. However, despite current libraries and frameworks, programming an exper…