Minutiae-Guided Fingerprint Embeddings via Vision Transformers

Understand

Minutiae matching has long dominated the field of fingerprint recognition.

• However, deep networks can be used to extract fixed-length embeddings from fingerprints.
• To date, the few studies that have explored the use of CNN architectures to extract such embeddings have shown extreme promise.
• Inspired by these early works, we propose the first use of a Vision Transformer (ViT) to learn a discriminative fixed-length fingerprint embedding.