Regression of Dense Distortion Field from a Single Fingerprint Image

arXiv:2404.17610v1 Announce Type: new
Abstract: Skin distortion is a long standing challenge in fingerprint matching, which causes false non-matches. Previous studies have shown that the recognition rate can be improved by estimating the distortion field from a distorted fingerprint and then rectifying it into a normal fingerprint. However, existing rectification methods are based on principal component representation of distortion fields, which is not accurate and are very sensitive to finger pose. In this paper, we propose a rectification method where …

abstract arxiv challenge cs.cv false however image normal rate recognition regression studies type