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Author
Title
Year
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Volume
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Veronica Romero; Alicia Fornes; Nicolas Serrano; Joan Andreu Sanchez; A.H. Toselli; Volkmar Frinken; E. Vidal; Josep Llados
The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition
2013
Pattern Recognition
46
1658-1669
Veronica Romero; Alicia Fornes; Enrique Vidal; Joan Andreu Sanchez
Information Extraction in Handwritten Marriage Licenses Books Using the MGGI Methodology
2017
8th Iberian Conference on Pattern Recognition and Image Analysis
10255
287-294
Ekta Vats; Anders Hast; Alicia Fornes
Training-Free and Segmentation-Free Word Spotting using Feature Matching and Query Expansion
2019
15th International Conference on Document Analysis and Recognition
1294-1299
Alicia Fornes; Xavier Otazu; Josep Llados
Show through cancellation and image enhancement by multiresolution contrast processing
2013
12th International Conference on Document Analysis and Recognition
200-204
Beata Megyesi; Alicia Fornes; Nils Kopal; Benedek Lang
Historical Cryptology
2024
Learning and Experiencing Cryptography with CrypTool and SageMath
Arnau Baro; Jialuo Chen; Alicia Fornes; Beata Megyesi
Towards a generic unsupervised method for transcription of encoded manuscripts
2019
3rd International Conference on Digital Access to Textual Cultural Heritage
73-78
Jialuo Chen; Mohamed Ali Souibgui; Alicia Fornes; Beata Megyesi
Unsupervised Alphabet Matching in Historical Encrypted Manuscript Images
2021
4th International Conference on Historical Cryptology
34-37
Pau Torras; Mohamed Ali Souibgui; Jialuo Chen; Alicia Fornes
A Transcription Is All You Need: Learning to Align through Attention
2021
14th IAPR International Workshop on Graphics Recognition
12916
141–146
David Fernandez; Josep Llados; Alicia Fornes; R.Manmatha
On Influence of Line Segmentation in Efficient Word Segmentation in Old Manuscripts
2012
13th International Conference on Frontiers in Handwriting Recognition
763-768
Mohamed Ali Souibgui; Alicia Fornes; Yousri Kessentini; Beata Megyesi
Few shots are all you need: A progressive learning approach for low resource handwritten text recognition
2022
Pattern Recognition Letters
160
43-49
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