1 citations · 1 across the 12 of their papers we have counts for
12 papers
Handwriting Extraction and Analysis of Signature Lists in Swiss Popular Initiatives
Marco Peer, Thomas Gorges, Mathias Seuret +2
Popular initiatives and referendums are central to Swiss democracy, yet the validation of handwritten signature lists remains a labor-intensive manual process. This paper investiga…
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We present BullingerDB, a large-scale benchmark dataset for historical document analysis based on the correspondence of Heinrich Bullinger (1504-1575).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…
ClapperText: A Benchmark for Text Recognition in Low-Resource Archival Documents
Tingyu Lin, Marco Peer, Florian Kleber +1
This paper presents ClapperText, a benchmark dataset for handwritten and printed text recognition in visually degraded and low-resource settings. The dataset is derived from 127 Wo…
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Handwritten text recognition for historical documents remains challenging due to handwriting variability, degraded sources, and limited layout-aware annotations.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…
Few-Shot Segmentation of Historical Maps via Linear Probing of Vision Foundation Models
Rafael Sterzinger, Marco Peer, Robert Sablatnig
As rich sources of history, maps provide crucial insights into historical changes, yet their diverse visual representations and limited annotated data pose significant challenges f…
Transparency Techniques for Neural Networks trained on Writer Identification and Writer Verification
Viktoria Pundy, Marco Peer, Florian Kleber
Neural Networks are the state of the art for many tasks in the computer vision domain, including Writer Identification (WI) and Writer Verification (WV). The transparency of these…
Assessing the impact of Binarization for Writer Identification in Greek Papyrus
Dominic Akt, Marco Peer, Florian Kleber
This paper tackles the task of writer identification for Greek papyri. A common preprocessing step in writer identification pipelines is image binarization, which prevents the mode…
Towards the Influence of Text Quantity on Writer Retrieval
Marco Peer, Robert Sablatnig, Florian Kleber
This paper investigates the task of writer retrieval, which identifies documents authored by the same individual within a dataset based on handwriting similarities. While existing…
KaiRacters: Character-level-based Writer Retrieval for Greek Papyri
Marco Peer, Robert Sablatnig, Olga Serbaeva +1
This paper presents a character-based approach for enhancing writer retrieval performance in the context of Greek papyri. Our contribution lies in introducing character-level annot…
SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval
Marco Peer, Florian Kleber, Robert Sablatnig
This paper introduces SAGHOG, a self-supervised pretraining strategy for writer retrieval using HOG features of the binarized input image. Our preprocessing involves the applicatio…
Feature Mixing for Writer Retrieval and Identification on Papyri Fragments
Marco Peer, Robert Sablatnig
This paper proposes a deep-learning-based approach to writer retrieval and identification for papyri, with a focus on identifying fragments associated with a specific writer and th…
Towards Writer Retrieval for Historical Datasets
Marco Peer, Florian Kleber, Robert Sablatnig
This paper presents an unsupervised approach for writer retrieval based on clustering SIFT descriptors detected at keypoint locations resulting in pseudo-cluster labels. With those…