Receipt Dataset for Fraud Detection
| Autor: | Artaud, Chloé, Doucet, Antoine, Ogier, Jean-Marc, Poulain D'Andecy, Vincent |
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| Přispěvatelé: | Laboratoire Informatique, Image et Interaction - EA 2118 (L3I), Université de La Rochelle (ULR), Yooz ITESOFT-Yooz Group, Artaud, Chloé |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | First International Workshop on Computational Document Forensics First International Workshop on Computational Document Forensics, Nov 2017, Kyoto, Japan |
| Popis: | International audience; The aim of this paper is to introduce a new dataset initially created to work on fraud detection in documents. This dataset is composed of 1969 images of receipts and the associated OCR result for each. The article details the dataset and its interest for the document analysis community. We indeed share this dataset with the community as a benchmark for the evaluation of fraud detection approaches. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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