3 papers
cs.CV2023
Handwritten Stenography Recognition and the LION Dataset
Raphaela Heil, Malin Nauwerck
Purpose: In this paper, we establish a baseline for handwritten stenography recognition, using the novel LION dataset, and investigate the impact of including selected aspects of s…
cs.CV2023
A Study of Augmentation Methods for Handwritten Stenography Recognition
Raphaela Heil, Eva Breznik
One of the factors limiting the performance of handwritten text recognition (HTR) for stenography is the small amount of annotated training data. To alleviate the problem of data s…
cs.CV2022
Paired Image to Image Translation for Strikethrough Removal From Handwritten Words
Raphaela Heil, Ekta Vats, Anders Hast
Transcribing struck-through, handwritten words, for example for the purpose of genetic criticism, can pose a challenge to both humans and machines, due to the obstructive propertie…