Receipt Dataset for Document Forgery Detection-Reference-Cited by-同舟云学术

Receipt Dataset for Document Forgery Detection

Published:2023 Issue: Volume: Page:454-469
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Tornés Beatriz Martínez^ORCID,Taburet Théo^ORCID,Boros Emanuela^ORCID,Rouis Kais^ORCID,Doucet Antoine^ORCID,Gomez-Krämer Petra^ORCID,Sidere Nicolas^ORCID,d’Andecy Vincent Poulain

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-41682-8_28

Reference22 articles.

1. Artaud, C., Doucet, A., Ogier, J.M., d’Andecy, V.P.: Receipt dataset for fraud detection. In: First International Workshop on Computational Document Forensics (2017)

2. Artaud, C., Sidère, N., Doucet, A., Ogier, J.M., Yooz, V.P.D.: Find it! Fraud detection contest report. In: 2018 24th International Conference on Pattern Recognition (ICPR), pp. 13–18 (2018)

3. Askell, A., et al.: A general language assistant as a laboratory for alignment. arXiv preprint arXiv:2112.00861 (2021)

4. Behera, T.K., Panigrahi, S.: Credit card fraud detection: a hybrid approach using fuzzy clustering & neural network. In: 2015 Second International Conference on Advances in Computing and Communication Engineering (2015)

5. Lecture Notes in Computer Science;F Cruz,2019

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