From Classification to Consistent Templates: Multiple Permuted-Label Classifier Encoding for Biometric Template Protection

arXiv:2607.13845 · cs.CR · Submitted 2026-07-15 · Read on arXiv

Baogang Song, Zhongshu Zhao, Qianrong Zheng, Jianwen Xiang, Dongdong Zhao

cs.CR

Submitted: 2026-07-15

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Verification — 46× in this paper · explained in 2 episodes
Consistency — 16× in this paper · explained in 3 episodes
Benchmark — 8× in this paper · explained in 2 episodes
Hamming Distance — 5× in this paper · explained in 2 episodes
Alignment — 4× in this paper · explained in 1 episode
International Conference on Biometrics — 3× in this paper
Multiple Permuted-Label Classifier Encoding — 3× in this paper
Adam — 2× in this paper · explained in 2 episodes
False Acceptance Rate — 2× in this paper
Benchmarking — 1× in this paper · explained in 3 episodes
Clustering — 1× in this paper · explained in 2 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Genuine Acceptance Rate — 1× in this paper
Information Leakage — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes

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