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cs.CV2026
Learning to Decipher from Pixels: A Case Study of Copiale
Lei Kang, Giuseppe De Gregorio, Raphaela Heil +2
Historical encrypted manuscripts require both paleographic interpretation of cipher symbols and cryptanalytic recovery of plaintext. Most existing computational workflows rely on a…
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…