iMARS is a research project funded by the European Commission, started in September 2020.
Official website: https://imars-project.eu/
The use of counterfeit travel documents at borders is a reality, which entails the risk of not identifying known criminals, including terrorists, or previously unknown subjects such as victims of human trafficking. Document fraud is one of the engines of organised crime in the European Union: although document fraud does not have a direct impact on most citizens in the European Union, it facilitates other serious and organised crime. It also has a strong impact on Members States since the financial consequences may be significant.
iMARS overall mission is to strengthen security at EU borders and improve operational capacity of passport application officers/border guards to assess ID documents validity against morphed images attacks during enrolment steps and at the border crossing stations.
iMARS will develop performant, affordable and customized morphing detection software capable for on the fly border processing but also investigate how image quality affects the morphing processes and the detection tools.
The iMARS project will include all the steps and procedures that guide the work of the enrolment agencies and border control experts.
Software capabilities will be validated in real operational scenarios in several EU countries (with border to countries outside EU).
Publications:
-
- Di Domenico N., Borghi G., Franco A., Maltoni D. Face Restoration for Morphed Images Retouching (IWBF 2024) [PDF]
- Di Domenico N., Borghi G., Franco A., Maltoni D. Combining identity features and artifact analysis for Differential Morphing Attack Detection (ICIAP 2023) [PDF]
- Di Domenico N., Borghi G., Franco A., Ferrara M., Maltoni D. Revelio: a Modular and Effective Framework for Reproducible Training and Evaluation of Morphing Attack Detectors (ACCESS 2023) [PDF]
- Di Domenico N., Borghi G., Franco A., Ferrara M., Maltoni D. A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors (MetroXRAINE 2023) [PDF]
- Pellegrini L., Borghi G., Franco A., Maltoni D. Detecting Morphing Attacks via Continual Incremental Training (IJCB 2023) [PDF]
- Borghi G., Graffieti G., Franco A., Maltoni D. Incremental Training of Face Morphing Detectors (ICPR 2022) [PDF]
- Borghi G., Franco A., Graffieti G., Maltoni D. Automated Artifact Retouching in Morphed Images with Attention Maps. (ACCESS 2021) [PDF]
- Borghi G., Pancisi E., Ferrara M., Maltoni D. A Double Siamese Framework for Differential Morphing Attack Detection (Sensors 2021) [PDF]