Issue 3/2023
Special Issue: “Advanced Topics in Document Analysis and Recognition”
Content (14 Articles)
Editorial for special issue on “advanced topics in document analysis and recognition”
Koichi Kise, Richard Zanibbi, Rajiv Jain, Gernot A. Fink
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping
Felix Hertlein, Alexander Naumann, Patrick Philipp
Analyzing the potential of active learning for document image classification
Saifullah Saifullah, Stefan Agne, Andreas Dengel, Sheraz Ahmed
Scheme for palimpsests reconstruction using synthesized dataset
Boraq Madi, Reem Alaasam, Raed Shammas, Jihad El-Sana
Classification of incunable glyphs and out-of-distribution detection with joint energy-based models
Florian Kordon, Nikolaus Weichselbaumer, Randall Herz, Stephen Mossman, Edward Potten, Mathias Seuret, Martin Mayr, Vincent Christlein
Historical document image analysis using controlled data for pre-training
Najoua Rahal, Lars Vögtlin, Rolf Ingold
Large-scale genealogical information extraction from handwritten Quebec parish records
Solène Tarride, Martin Maarand, Mélodie Boillet, James McGrath, Eugénie Capel, Hélène Vézina, Christopher Kermorvant
Printed Ottoman text recognition using synthetic data and data augmentation
Esma F. Bilgin Tasdemir
Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network
Wassim Swaileh, Florent Imbert, Yann Soullard, Romain Tavenard, Eric Anquetil
IAMonSense: multi-level handwriting classification using spatiotemporal information
Ahmad Mustafid, Junaid Younas, Paul Lukowicz, Sheraz Ahmed
An accurate approach to real-time machine-readable zone detection with mobile devices
Alexander Gayer, Daria Ershova, Vladimir V. Arlazarov
Line extraction in handwritten documents via instance segmentation
Adeela Islam, Tayaba Anjum, Nazar Khan
End-to-end optical music recognition for pianoform sheet music
Antonio Ríos-Vila, David Rizo, José M. Iñesta, Jorge Calvo-Zaragoza
LSTM-based Siamese neural network for Urdu news story segmentation
Muhammad Nauman Ahmed Bhatti, Imran Siddiqi, Momina Moetesum