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On the Extent of Longitudinal Finger Rotation in Publicly Available Finger Vein Data Sets., , and . ICB, page 1-8. IEEE, (2019)PROTECT Multimodal DB: fusion evaluation on a novel multimodal biometrics dataset envisaging Border Control., , , , , , , , , and 5 other author(s). BIOSIG, volume P-282 of LNI, page 1-5. GI / IEEE, (2018)Robustness Evaluation of Hand Vein Recognition Systems., and . BIOSIG, volume P-245 of LNI, page 183-190. GI, (2015)On the Influence of Texture Strength and Camera Signal on Micro- Texture Surface Classification., , , and . IWBF, page 1-6. IEEE, (2024)PRNU-based image alignment for defective pixel detection., and . BTAS, page 1-7. IEEE, (2016)Inverse Biometrics: Generating Vascular Images From Binary Templates., , , , and . IEEE Trans. Biom. Behav. Identity Sci., 3 (4): 464-478 (2021)Inverse Biometrics: Reconstructing Grayscale Finger Vein Images from Binary Features., , , , and . IJCB, page 1-10. IEEE, (2020)Cross-Sensor Micro-Texture Material Classification and Smartphone Acquisition do not go well together., , , and . IWBF, page 1-6. IEEE, (2023)The Two Sides of the Finger - An Evaluation on the Recognition Performance of Dorsal vs. Palmar Finger-Veins., , and . BIOSIG, volume P-282 of LNI, page 1-5. GI / IEEE, (2018)Limiting Factors in Smartphone-Based Cross-Sensor Microstructure Material Classification., , , and . IWDW, volume 14511 of Lecture Notes in Computer Science, page 33-47. Springer, (2023)