IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 1)
Authors/Creators
-
1.
Arizona State University
- 2. University of Wisconsin - Madison
-
3.
United States Department of Homeland Security
Description
This is part 1 of the IDNet dataset of our research paper "IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation. Here's a link to the paper: https://ieeexplore.ieee.org/document/10825017
Citation:
@inproceedings{xie2024idnet,
title={IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation},
author={Xie, Lulu and Wang, Yancheng and Guan, Hong and Nag, Soham and Goel, Rajeev and Swamy, Niranjan and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and others},
booktitle={2024 IEEE International Conference on Big Data (BigData)},
pages={2244--2253},
year={2024},
organization={IEEE}
}
@article{guan2024idnet,
title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},
author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},
journal={arXiv preprint arXiv:2408.01690},
year={2024}
}
Files
ALB.zip
Additional details
Funding
- United States Department of Homeland Security
- 17STQAC00001-06-00 17STQAC00001-06-00