Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition
Researchers have developed new open-source algorithms, ArcIris and TripletIris, to make participation in the NIST Iris Exchange (IREX) more accessible. These deep learning-based matchers, along with supporting toolkit and benchmarking, aim to lower the technical barriers for evaluating iris recognition algorithms. The paper also includes implementations of existing methods and evaluates all solutions on various academic benchmarks. AI
IMPACT New open-source tools and benchmarks could accelerate research and development in iris recognition technology.