Synthetic dataset of ID and Travel Document

Carlos Boned, Maxime Talarmain, Nabil Ghanmi, Guillaume Chiron, Sanket Biswas +2 more
1/3/2024
cs.CV

No official code found. Best implementation: Oriolrt/SIDTD_Dataset (28 stars, CC-BY-4.0, last commit 2024-12-09).

Abstract

This paper presents a new synthetic dataset of ID and travel documents, called SIDTD. The SIDTD dataset is created to help training and evaluating forged ID documents detection systems. Such a dataset has become a necessity as ID documents contain personal information and a public dataset of real documents can not be released. Moreover, forged documents are scarce, compared to legit ones, and the way they are generated varies from one fraudster to another resulting in a class of high intra-variability. In this paper we trained state-of-the-art models on this dataset and we compare them to the performance achieved in larger, but private, datasets. The creation of this dataset will help to document image analysis community to progress in the task of ID document verification.

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Code Implementations(1)

Oriolrt/SIDTD_DatasetCommunity100%
CC-BY-4.0

Dataset for ID Document Verification systems

284C, C++Jul 26, 20221 years agoCC-BY-4.0

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Cite this paper

@article{boned2024synthetic,
  title  = {Synthetic dataset of ID and Travel Document},
  author = {Carlos Boned and Maxime Talarmain and Nabil Ghanmi and Guillaume Chiron and Sanket Biswas and Ahmad Montaser Awal and Oriol Ramos Terrades},
  year   = {2024},
  eprint = {2401.01858},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.01858v1}
}

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