10 citations · 14 across the 5 of their papers we have counts for
6 papers
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We present BullingerDB, a large-scale benchmark dataset for historical document analysis based on the correspondence of Heinrich Bullinger (1504-1575).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…
Prediction of Grade, Gender, and Academic Performance of Children and Teenagers from Handwriting Using the Sigma-Lognormal Model
Adrian Iste, Kazuki Nishizawa, Chisa Tanaka +4
Digital handwriting acquisition enables the capture of detailed temporal and kinematic signals reflecting the motor processes underlying writing behavior. While handwriting analysi…
From Pen Strokes to Sleep States: Detecting Low-Recovery Days Using Sigma-Lognormal Handwriting Features
Chisa Tanaka, Andrew Vargo, Anna Scius-Bertrand +2
While handwriting has traditionally been studied for character recognition and disease classification, its potential to reflect day-to-day physiological fluctuations in healthy ind…
CTC Transcription Alignment of the Bullinger Letters: Automatic Improvement of Annotation Quality
Marco Peer, Anna Scius-Bertrand, Andreas Fischer
Handwritten text recognition for historical documents remains challenging due to handwriting variability, degraded sources, and limited layout-aware annotations. In this work, we a…
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…