12 citations · 13 across the 8 of their papers we have counts for
8 papers
FedPalm: A General Federated Learning Framework for Closed- and Open-Set Palmprint Verification
Ziyuan Yang, Yingyu Chen, Chengrui Gao +3
Current deep learning (DL)-based palmprint verification models rely on centralized training with large datasets, which raises significant privacy concerns due to biometric data's s…
Deep Learning in Palmprint Recognition-A Comprehensive Survey
Chengrui Gao, Ziyuan Yang, Wei Jia +3
Palmprint recognition has emerged as a prominent biometric technology, widely applied in diverse scenarios. Traditional handcrafted methods for palmprint recognition often fall sho…
Cross-Chirality Palmprint Verification: Left is Right for the Right Palmprint
Chengrui Gao, Ziyuan Yang, Tiong-Sik Ng +2
Palmprint recognition has emerged as a prominent biometric authentication method, owing to its high discriminative power and user-friendly nature. This paper introduces a novel Cro…
Beyond First-Order: A Multi-Scale Approach to Finger Knuckle Print Biometrics
Chengrui Gao, Ziyuan Yang, Andrew Beng Jin Teoh +1
Recently, finger knuckle prints (FKPs) have gained attention due to their rich textural patterns, positioning them as a promising biometric for identity recognition. Prior FKP reco…
A Dual-Level Cancelable Framework for Palmprint Verification and Hack-Proof Data Storage
Ziyuan Yang, Ming Kang, Andrew Beng Jin Teoh +4
In recent years, palmprints have been widely used for individual verification. The rich privacy information in palmprint data necessitates its protection to ensure security and pri…
Scale-aware competition network for palmprint recognition
Chengrui Gao, Ziyuan Yang, Min Zhu +1
Palmprint biometrics garner heightened attention in palm-scanning payment and social security due to their distinctive attributes. However, prevailing methodologies singularly prio…
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks
Junlong Cheng, Chengrui Gao, Fengjie Wang +1
Recently, U-shaped networks have dominated the field of medical image segmentation due to their simple and easily tuned structure. However, existing U-shaped segmentation networks:…
Deep learning-based person re-identification methods: A survey and outlook of recent works
Zhangqiang Ming, Min Zhu, Xiangkun Wang +5
In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the…