Fuzzy Extractors for Minutiae-Based Fingerprint Authentication
Arathi Arakala, Jason Jeffers, Kathy J. Horadam · Lecture notes in computer science · 2007
We propose an authentication scheme using fingerprint biometrics, protected by a construct called a Fuzzy Extractor. We look at a new way of quantizing and digitally representing the minutiae measurements so that a construct called PinSketch can be applied to the minutiae. This is converted to a Fuzzy Extractor by tying some random information to the minutiae measurements. We run a matching algorithm at chosen quantization parameters and show that the authentication accuracy is within acceptable limits. We demonstrate that our authentication system succeeds in protecting the users’ identity. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.