• Lectures by R.N.J. Veldhuis (Raymond) of University of Twente

    • We are honored to host R.N.J. Veldhuis (Raymond) for two interesting lectures:

      • Likelihood-ratio classifiers in biometrics

        date: 16 October 2018     Time: 10:00 AM to 11:00 AM
        Details
        abstract

      • Examples of the application of biometrics in forensics

        date: 19 October 2018     Time: 10:00 AM to 11:00 AM
        Details
        abstract

      The events are technically sponsored by the IEEE Italy Section Biometric Council.

  • European Association for Biometrics Research Award 2018

    • Our former PhD student Rig Das has won the prestigious European Association for Biometrics (EAB) Research Award 2018 in Darmstadt, Germany, on September 26th, for his PhD related research work titled "Deep Learning for Face and Vein Biometrics: A Case Study".

      Thesis abstract

  • EUSIPCO 2018




  • Ph.D. Positions within the H2020 MSC-ITN "enhAnced Mobile BiomEtRics" (AMBER) project

      • The Biometrics and Multimedia Security Lab, Engineering Department, Roma Tre University, within the H2020 MSCA-ITN AMBER (enhAnced Mobile BiomEtRics) European Project (https://www.amber-biometrics.eu/), filled up two PhD positions with the respective following thematic areas:
        • (ESR 3) Template protection in biometric-based mobile scenarios
        • (ESR 4) Multibiometrics architectures and privacy in a mobile environment

  • Best Demo Award of the 7th GTTI thematic meeting on Multimedia Signal Processing

    • Emanuela Piciucco won the Best Demo Award of the 7th GTTI thematic meeting on Multimedia Signal Processing with the contribution titled "EEG based biometric recognition using a low-cost DIY system" (http://www.isip40.it/gtti.mmsp2017/node/15)
    • The aim of the demo was to show an example of a biometric recognition system working in a real-life situation based on EEG signals captured while the user is asked to stay in a "resting state condition with closed eyes". The data used for the identification task are captured using an acquisition device based on a low-cost hardware and a 3D printable headset.
    • More details about EEG related research activity at the BIOMEDIA4N6 Lab can be found here



  • MIT Technology Review: The Best of the Physics arXiv

  • IEEE Information Forensics and Security Technical Committee