12 citations · 13 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…