7 citations · 13 across the 5 of their papers we have counts for
6 papers
Minutiae-Anchored Local Dense Representation for Fingerprint Matching
Zhiyu Pan, Xiongjun Guan, Yongjie Duan +2
Fingerprint matching under diverse capture conditions remains a fundamental challenge in biometric recognition. To achieve robust and accurate performance in such scenarios, we pro…
Fixed-Length Dense Fingerprint Representation with Alignment and Robust Enhancement
Zhiyu Pan, Xiongjun Guan, Yongjie Duan +2
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 match…
Latent Fingerprint Matching via Dense Minutia Descriptor
Zhiyu Pan, Yongjie Duan, Xiongjun Guan +2
Latent fingerprint matching is a daunting task, primarily due to the poor quality of latent fingerprints. In this study, we propose a deep-learning based dense minutia descriptor (…
Regression of Dense Distortion Field from a Single Fingerprint Image
Xiongjun Guan, Yongjie Duan, Jianjiang Feng +1
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 estim…
Direct Regression of Distortion Field from a Single Fingerprint Image
Xiongjun Guan, Yongjie Duan, Jianjiang Feng +1
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 estim…
Fixed-length Dense Descriptor for Efficient Fingerprint Matching
Zhiyu Pan, Yongjie Duan, Jianjiang Feng +1
In fingerprint matching, fixed-length descriptors generally offer greater efficiency compared to minutiae set, but the recognition accuracy is not as good as that of the latter. Al…