Biometrics

Research on Convenient and Privacy Compliant Biometric Systems

The mission of our research on Biometrics is to achieve progress towards better Biometric systems. While our work is covering numerous physiological and behavioral modality including 2D- and 3D-face recognition, iris recognition, fingerprint recognition, fingervein recognition, ear recognition and gait recognition the intention to be better has various flavors. In the first instance the research is targeting improved recognition performance, which we want to achieve by quality assessment of biometric enrolment samples. In the second instance we are concerned about development and deployment of convenient  unobtrusive biometrics that can e..g. protect personal or business data that is stored on smartphones. Exploiting the embedded smartphone sensors is our strategy to deploy biometrics without any hardware costs. The third and yet very relevant instance is our work on privacy enhancing technologies such as biometric template protection and design of biometric systems according to the Privacy-by-Design principle. Our group is actively participating in international academic conferences such as ICB, BTAS and BIOSIG and contributes both to the European Association for Biometrics (EAB) and the international standardisation in ISO/IEC JTC1 SC37.


  • COLFISPOOF: A new Database for Contactless Fingerprint Presentation Attack Detection Research

    COLFISPOOF A new Database for Contactless Fingerprint Presentation Attack Detection Research The COLFISPOOF database contains 7,200 samples from 72 different presentation attack instrument (PAI) species. It was collected to promote research on mobile contactless fingerprint presentation attack detection (PAD). A

  • HDA Cross-Domain Face Database

    HDA Cross-Domain Face Database TBA

  • HDA Doppelgänger Face Database

    HDA Doppelgänger Face Database The Hochschule Darmstadt (HDA) doppelgänger database contains 400 pairs of doppelgänger images collected from multiple web sources. Download and Copyright: The database is being made available for researchers from 2021 onwards. Interested researchers can download this database

  • HDA Facial Makeup Presentation Attack Database

    HDA Facial Makeup Presentation Attack Database Hochschule Darmstadt (HDA) facial makeup presentation attack database (HDA_MPA_DB) contains web-collected facial images of individuals with and without makeup in several contexts: Bona fide makeup application. Identity concealment M-PAs. Impersonation M-PAs. Download and Copyright

  • HDA Facial Tattoo and Painting Database

    HDA Facial Tattoo and Painting Database The Hochschule Darmstadt (HDA) facial tattoo and paintings database contains 500 pairs of facial images of individuals with and without facial tattoos or paintings. The database was collected from multiple online sources. Download and

  • HDA Plastic Surgery Face Database

    HDA Plastic Surgery Face Database The Hochschule Darmstadt (HDA) plastic surgery database contains facial images taken before and after five types of popular face surgeries: Eyebrow correction Eyelid correction Facelift Facial bones correction Nose correction The HDA plastic surgery face

  • Presentation Attack Detection for Finger Recognition

    Presentation Attack Detection for Finger Recognition Score files of the experiments using finger vein images for fingerprint presentation attack detection (PAD). Download The score files can be downloaded here. Attribution In case you are comparing your results to ours, please

  • MCIS

    MCIS – Multi-Class Iris Segmentation A database providing semantic segmentation labels for 500 images of the NICE.I database. Download The database can be downloaded using the following link. To obtain the password for the database send a signed license agreement

  • Measuring Unlinkability in Biometric Template Protection Systems

    Measuring Unlinkability in Biometric Template Protection Systems Implementation of local and global unlinkability metrics for biometric template protection schemes proposed by Gomez-Barrero et al. [TIFS18] Code Free and unrestricted for academic and teaching use, but not for commercial purposes. Available at GitHub.

  • Multi-Biometric Template Protection Based on Bloom Filters

    Multi-Biometric Template Protection Based on Bloom Filters Implementation of the feature level fusion of Bloom filter based protected templates proposed by Gomez-Barrero et al. [IF18] Code Free and unrestricted for academic and teaching use, but not for commercial purposes. Available at

  • SIC-Gen

    SIC-Gen: Synthetic Iris-Code generator A method for generation of large-scale synthetic Iris-Code databases proposed by Drozdowski et al. [1]. Code Free and unrestricted for academic and teaching use, but not for commercial purposes. Available at github. Attribution Any publications using

  • da/sec WDSET02 multisensor fingerprint database

    WDSET02 da/sec WDSET02 multisensor fingerprint database WDSET02 is a multisensor fingerprint database obtained using optical sensors for the acquisition of fingerprints subjected to four levels of moisture.  The moisture level of the finger is determined by a skin moisture measuring

  • MBASSy – Modular Biometric Authentication Service System

    MBASSy (Modular Biometric Authentication Service System) Since the introduction of the iPhone, the number of smartphone users is steadily increasing. Because a variety of personal or business data is stored on smartphones, an increased need for information protection arises compared