PI Dr. Matthew E. Taylor - Alberta Machine Intelligence Institute | Dr. Miguel A. Medina-Pérez - Technológico de Monterrey
EPS Partner Devin Laforce – Edmonton Police Service Brad Mandrusiak – Edmonton Police Service

This project has alse being supported via our ITESM-UofA Seed Grant Program

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Description Automated methods for identifying latent fingerprints (those which are not visible to the human eye) have grown in popularity in the past years. However, as the use of these systems grows, new challenges have emerged that impede the marking of some of the basic features needed to represent fingerprints. Even the absence of two features can make a fingerprint no longer identifiable, creating barriers to the implementation of automated methods. To meet this challenge, we are developing an AI-enabled system to improve feature labelling for latent fingerprint identification. The system will predict the impact of including or not including certain features for a latent fingerprint identification system. The project seeks to develop a tool that can be used to support trained fingerprint examiners and in the training of individuals with little or no experience in the field. The project will focus on human-in-the-loop, a method of AI development that requires human interaction with the system, and will be supported by the Edmonton Police Service.