Author:
Zhao Qijun,Jain Anil K.,Paulter Nicholas G.,Taylor Melissa
Cited by
18 articles.
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1. FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
2. Vikriti-ID: A Novel Approach For Real Looking Fingerprint Data-set Generation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
3. Synthetic Latent Fingerprint Generation Using Style Transfer;2023 International Conference of the Biometrics Special Interest Group (BIOSIG);2023-09-20
4. Privacy-Friendly Datasets of Synthetic Fingerprints for Evaluation of Biometric Algorithms;Applied Sciences;2023-09-05
5. Diffusion Probabilistic Model Based End-to-End Latent Fingerprint Synthesis;2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML);2023-08-04