15 citations · 33 across the 13 of their papers we have counts for
14 papers
UoU: A Universal Fingerprint Foundation Model Based on Large-Scale Unsupervised Learning
Xiongjun Guan, Jianjiang Feng, Jie Zhou
Fingerprint recognition is still dominated by task-specific pipelines, where enhancement, structural parsing, alignment, and matching are optimized in isolation. Although effective…
Toward the Whole Picture: Accumulative Fingerprint Mapping and Reconstruction for Small-Area Mobile Sensors
Xiongjun Guan, Jianjiang Feng, Jie Zhou
Small-area fingerprint sensing on mobile devices creates a fundamental mismatch between acquisition and recognition: each touch captures only a tiny, pose-varying local patch, whil…
Cross-Modal Registration Between 3D and 2D Fingerprints via Pose-Aware Unwrapping and Point-Cloud Fusion
Xiongjun Guan, Jianjiang Feng, Jie Zhou
Three-dimensional (3D) fingerprints preserve global finger geometry and local ridge structure while avoiding contact-induced deformation, but they remain difficult to integrate wit…
Identity-Consistent Multi-Pose Generation of Contactless Fingerprints
Zhiyu Pan, Xiongjun Guan, Jianjiang Feng +1
Contactless fingerprint recognition has gained increasing attention due to its advantages in hygiene and acquisition flexibility. However, the absence of physical contact constrain…
BiFingerPose: Bimodal Finger Pose Estimation for Touch Devices
Xiongjun Guan, Zhiyu Pan, Jianjiang Feng +1
Finger pose offers promising opportunities to expand human computer interaction capability of touchscreen devices. Existing finger pose estimation algorithms that can be implemente…
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…
Finger Pose Estimation for Under-screen Fingerprint Sensor
Xiongjun Guan, Zhiyu Pan, Jianjiang Feng +1
Two-dimensional pose estimation plays a crucial role in fingerprint recognition by facilitating global alignment and reduce pose-induced variations. However, existing methods are s…
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…
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…
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…
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…
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…
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…