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20242026
most citedJoint Identity Verification and Pose Alignment for Partial Fingerprints

15 citations · 33 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024★ 15 cited

Joint Identity Verification and Pose Alignment for Partial Fingerprints

Xiongjun Guan, Zhiyu Pan, Jianjiang Feng +1

Currently, portable electronic devices are becoming more and more popular. For lightweight considerations, their fingerprint recognition modules usually use limited-size sensors. H…

cs.CV2024★ 1 cited

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 (…

cs.CV2024★ 7 cited

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…

cs.CV2024★ 5 cited

Phase-aggregated Dual-branch Network for Efficient Fingerprint Dense Registration

Xiongjun Guan, Jianjiang Feng, Jie Zhou

Fingerprint dense registration aims to finely align fingerprint pairs at the pixel level, thereby reducing intra-class differences caused by distortion. Unfortunately, traditional…

cs.CV2024★ 1 cited

Pose-Specific 3D Fingerprint Unfolding

Xiongjun Guan, Jianjiang Feng, Jie Zhou

In order to make 3D fingerprints compatible with traditional 2D flat fingerprints, a common practice is to unfold the 3D fingerprint into a 2D rolled fingerprint, which is then mat…

cs.CV2024★ 3 cited

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…