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Beyond the eye of the beholder: On a forensic descriptor of the eye region.

, , and . EUSIPCO, page 774-778. IEEE, (2015)

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Patch-based Finger Vein Verification using Convolutional Variational Autoencoder., , , and . IWBF, page 1-6. IEEE, (2024)Mind the Gap: A Practical Framework for Classifiers in a Forensic Context., , , and . BTAS, page 1-9. IEEE, (2018)Manually annotated characteristic descriptors: Measurability and variability., , , and . IWBF, page 1-6. IEEE, (2017)Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases., , and . BIOSIG, volume P-260 of LNI, page 171-182. GI / IEEE, (2016)Shallow CNNs for the Reliable Detection of Facial Marks., and . BIOSIG, volume P-282 of LNI, page 1-5. GI / IEEE, (2018)ForenFace: a unique annotated forensic facial image dataset and toolset., , , , and . IET Biom., 6 (6): 487-494 (2017)Sub-byte quantization of Mobile Face Recognition Convolutional Neural Networks., , and . BIOSIG, volume P-329 of LNI, page 229-236. Gesellschaft für Informatik e.V. / IEEE, (2022)Beyond the eye of the beholder: On a forensic descriptor of the eye region., , and . EUSIPCO, page 774-778. IEEE, (2015)Examining the examiners: an online eyebrow verification experiment inspired by FISWG., , and . IWBF, page 1-6. IEEE, (2015)How Random Is a Classifier Given Its Area under Curve?, , and . BIOSIG, volume P-270 of LNI, page 259-266. GI / IEEE, (2017)