Image-based forensic profiling
Find forgery patterns and uncover criminal networks
ProFID is a software implementing a proven methodology for profiling scanned images of counterfeits. It provides an AI-supported framework for grouping samples into series stemming from a common forger, thus exposing the relationship between cases and informing investigations.
Initially developed and published for identity and travel documents, it has been shown to work for pharmaceutical cartons and bank notes as well.

ProFID in a nutshell
ProFID was born from the need to develop an effective methodology for comparing documents and establishing series when profiling ID documents. The work was fostered by the University of Lausanne and European law enforcement agencies under the EU Internal Security Fund.
Beyond identity documents
ProFID was originally designed for fraudulent identity and travel documents, but the underlying approach — scan, describe, compare, create series — applies wherever counterfeit samples share a production source.
The methodology was published in Science & Justice with identity documents as a case study, but since then has also been applied successfully to bank notes and pharmaceutical packaging, showing that the same methodology and image processing techniques can be used across very different domains.
For police forces, border guards, central banks and pharmaceutical brand-protection teams, ProFID offers a validated workflow to turn a collection of seized samples into actionable intelligence.
If you think this might be useful to your forensic lab or investigation unit, or if you have a use case in mind, please reach out to us!