Receipt Dataset for Fraud Detection

Chloé Artaud (1) , Antoine Doucet (1) , Jean-Marc Ogier (1) , Vincent Poulain d'Andecy (2)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118
2 Yooz ITESOFT-Yooz Group

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.

Domaines: Traitement du texte et du document

Chloé Artaud, Antoine Doucet, Jean-Marc Ogier, Vincent Poulain d'Andecy. Receipt Dataset for Fraud Detection. First International Workshop on Computational Document Forensics, Nov 2017, Kyoto, Japan. ⟨hal-02316349⟩