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DTSTART;TZID=Europe/Ljubljana:20260728T140000
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SUMMARY:Contactless Palmprint Identification: Methods\, Performance\, and Security Challenges
DESCRIPTION:Title: Contactless Palmprint Identification: Methods\, Performance\, and Security Challenges\nSpeaker: Prof. Dr. Ajay Kumar\, Hong Kong Polytechnic University\nWhen: July 28\, 2026 at 2:00 pm CEST (8:00 PM Hong Kong Time / 8:00 AM US Eastern Time)\nWhere: Online (Zoom) \nRecording of the Webinar\n \nAbstract\nContactless palmprint identification is emerging as a powerful biometric technology for secure\, hygienic\, and user-friendly authentication in mobile identity\, fintech\, e-payments\, healthcare\, and other public services. This webinar intends to provide an accessible overview of the state of the art in contactless palmprint recognition\, including traditional feature-based approaches\, deep learning methods\, and recent advances in mobile phone-based authentication. Comparative performance trends and accuracy results from current methods will be discussed\, highlighting progress as well as limitations in real-world deployment. The talk also plans to examine key security challenges\, including presentation attacks\, spoof detection\, privacy protection\, cross-device reliability\, and template security. Finally\, it will outline future research directions toward accurate\, scalable\, explainable\, and trustworthy contactless palmprint identification. \nAbout The Speaker\nAjay Kumar is a Professor in the Department of Data Science and Artificial Intelligence at The Hong Kong Polytechnic University. He received a B.Eng. degree an M.Eng.\, and a Ph.D. from The University of Hong Kong\, Hong Kong\, in 2001. Before joining PolyU\, he served as an Assistant Professor in the Department of Electrical Engineering at IIT Delhi from 2005 to 2007. \nProfessor Kumar’s research focuses on biometrics\, with particular emphasis on contactless hand biometrics\, vascular biometrics\, iris recognition\, and multimodal biometric systems. He holds seven U.S. patents and has authored two books\, including Contactless 3D Fingerprint Identification (2018) and Iris and Periocular Recognition using Deep Learning (2024). A Fellow of IAPR and IEEE\, he has held several prominent leadership roles in the biometrics community\, including President of the IEEE Biometrics Council (2021–2022)\, and has served on editorial boards of several leading journals\, including IEEE Transactions on Pattern Analysis and Machine Intelligence (2020-2025).
URL:https://ieee-biometrics.org/event/contactless-palmprint-identification-methods-performance-and-security-challenges/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://ieee-biometrics.org/wp-content/uploads/prof_kumar_banner.jpg
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DTSTART;TZID=America/New_York:20260827T080000
DTEND;TZID=America/New_York:20260827T090000
DTSTAMP:20260816T204110Z
CREATED:20260816T204051Z
LAST-MODIFIED:20260816T204110Z
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SUMMARY:Identity Security in the Age of Deepfakes
DESCRIPTION:Title: Identity Security in the Age of Deepfakes\nSpeaker: Prof. Dr. Siwei Lyu\, University at Buffalo\, USA\nWhen: August 27\, 2026 at 8:00 AM US Eastern Time (2:00 pm CEST\, 8:00 PM Beijing Time)\nWhere: Online (Zoom)\nRegistration (free but required): https://us06web.zoom.us/webinar/register/WN_O4u0j2pRRbqueYItyIooJA \nAbstract\nRapid advances in generative AI have made it increasingly easy to synthesize or manipulate faces\, voices\, and real-time audiovisual streams\, creating new challenges for biometric identity systems. This talk examines how deepfakes can affect different stages of the biometric pipeline\, including synthetic identity creation\, impersonation\, morphing\, and real-time digital injection. It will clarify the complementary roles of biometric matching\, presentation attack detection and liveness\, and media forensics\, and review the forensic evidence that current deepfake detectors exploit. \nThe talk will also discuss why deepfake detection remains difficult in real-world settings and argue for moving beyond a single “real or fake” detector toward layered\, evidence-based and risk-aware biometric authentication. The webinar should be relevant to researchers\, practitioners\, students\, and security professionals working in biometrics\, identity verification\, media forensics\, AI security\, fraud prevention\, and trustworthy AI. \nAbout The Speaker\nSiwei Lyu is a SUNY Distinguished Professor at the University at Buffalo\, State University of New York\, where he directs the Institute for AI and Data Science and the UB Media Forensics Lab. His research focuses on digital media forensics\, deepfake and AI-generated media detection\, and trustworthy AI. He leads the development of DeepFake-o-Meter\, an open platform integrating state-of-the-art deepfake detection methods for research and real-world analysis. He is a Fellow of IEEE and IAPR.
URL:https://ieee-biometrics.org/event/identity-security-in-the-age-of-deepfakes/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://ieee-biometrics.org/wp-content/uploads/prof_lyu_banner.jpg
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