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Exploring automatic extraction of body-based soft biometrics., , , , and . ICCST, page 1-6. IEEE, (2017)On the Vulnerability of Finger Vein Recognition to Spoofing., , and . BIOSIG, volume P-230 of LNI, page 99-110. GI, (2014)Time Analysis of Pulse-Based Face Anti-Spoofing in Visible and NIR., , , and . CVPR Workshops, page 544-552. Computer Vision Foundation / IEEE Computer Society, (2018)A Study of Identification Performance of Facial Regions from CCTV Images., , , , , and . IWCF, volume 8915 of Lecture Notes in Computer Science, page 83-91. Springer, (2014)The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks., , , , , , , , , and . ICB, page 513-518. IEEE, (2015)Annotation-Based Access Control Approach for Ubiquitous Systems., , , , , , , , and . AINA, page 218-225. IEEE Computer Society, (2014)Scenario-based score fusion for face recognition at a distance., , , and . CVPR Workshops, page 67-73. IEEE Computer Society, (2010)Understanding the discrimination power of facial regions in forensic casework., , , , , , and . IWBF, page 1-4. IEEE, (2013)Analysis of the variability of facial landmarks in a forensic scenario., , , , and . IWBF, page 1-4. IEEE, (2013)Assessment of gait recognition based on the lower part of the human body., , , and . IWBF, page 1-4. IEEE, (2013)