# e-Counterfeit: a mobile-server platform for document counterfeit detection

arXiv: https://arxiv.org/abs/1708.06126 · HTML: https://mlsanity.com/paper/1708.06126/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Aug 2017.

## Built on by (most cited first, 3 of 3)

- [First Competition on Presentation Attack Detection on ID Card](https://mlsanity.com/paper/2409.00372/) (2024)
- [Open-Set: ID Card Presentation Attack Detection using Neural Transfer Style](https://mlsanity.com/paper/2312.13993/) (2023)
- [Identity Documents Authentication based on Forgery Detection of Guilloche Pattern](https://mlsanity.com/paper/2206.10989/) (2022)

## Abstract (arXiv)

This paper presents a novel application to detect counterfeit identity documents forged by a scan-printing operation. Texture analysis approaches are proposed to extract validation features from security background that is usually printed in documents as IDs or banknotes. The main contribution of this work is the end-to-end mobile-server architecture, which provides a service for non-expert users and therefore can be used in several scenarios. The system also provides a crowdsourcing mode so labeled images can be gathered, generating databases for incremental training of the algorithms.