Receipt Dataset for Document Forgery Detection
- DOI
- 10.1007/978-3-031-41682-8_28
- Published
- 2023
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-41682-8_28,
title = {Receipt Dataset for Document Forgery Detection},
author = {Beatriz Martínez Tornés and Théo Taburet and Emanuela Boros and Kais Rouis and Antoine Doucet and Petra Gomez-Krämer and Nicolas Sidere and Vincent Poulain d’Andecy},
year = {2023},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-031-41682-8_28},
url = {https://doi.org/10.1007/978-3-031-41682-8_28}
}RIS
TY - JOUR TI - Receipt Dataset for Document Forgery Detection AU - Beatriz Martínez Tornés AU - Théo Taburet AU - Emanuela Boros AU - Kais Rouis AU - Antoine Doucet AU - Petra Gomez-Krämer AU - Nicolas Sidere AU - Vincent Poulain d’Andecy PY - 2023 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-031-41682-8_28 UR - https://doi.org/10.1007/978-3-031-41682-8_28 ER -
APA
Tornés, B. M., Taburet, T., Boros, E., Rouis, K., Doucet, A., Gomez-Krämer, P., Sidere, N., & d’Andecy, V. P. (2023). Receipt Dataset for Document Forgery Detection. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-41682-8_28
Source records
- crossref · retrieved 2026-09-25T05:07:10.569Z