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Study on internal to surface fingerprint correlation using optical coherence tomography and internal fingerprint extraction.

, and . J. Electronic Imaging, 24 (6): 063014 (2015)

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Fingerprint minutiae extraction using deep learning., and . IJCB, page 22-30. IEEE, (2017)What Information Does a ResNet Compress?, and . CoRR, (2020)Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks., , and . CoRR, (2020)A review of state-of-the-art speckle reduction techniques for optical coherence tomography fingertip scans., , and . ICMV, volume 9445 of SPIE Proceedings, page 944523. SPIE, (2014)Performance analysis of a Hybrid fingerprint extracted from optical coherence tomography fingertip scans., , and . ICB, page 1-8. IEEE, (2016)Study on internal to surface fingerprint correlation using optical coherence tomography and internal fingerprint extraction., and . J. Electronic Imaging, 24 (6): 063014 (2015)Optical Coherence Tomography for Fingerprint Presentation Attack Detection., , , , and . Handbook of Biometric Anti-Spoofing, 2nd Ed., Springer, (2019)How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads., , , , , , and . SoCC, page 443-458. ACM, (2023)Internal fingerprint zone detection in optical coherence tomography fingertip scans., , and . J. Electronic Imaging, 24 (2): 023027 (2015)GINN: Geometric Illustration of Neural Networks., and . CoRR, (2018)