Fixed-Length Dense Fingerprint Representation with Alignment and Robust Enhancement

ArXi:2505.03597v2 Announce Type: replace Fixed-length fingerprint representations, which map each fingerprint to a compact and fixed-size feature vector, are computationally efficient and well-suited for large-scale matching. However, designing a robust representation that effectively handles diverse fingerprint modalities, pose variations, and noise interference remains a significant challenge. In this work, we propose a fixed-length dense descriptor of fingerprints, and