Resources (Research)

Find our recent releases of code or data at https://github.com/HalmstadUniversityBiometrics


Published Software


Lightweight Face Recognition Models (2020)

  • Software code for pose-invariant face recognition based on lightweight deep convolutional models of just a few Mbs, suitable for mobile recognition

  • Described in publication: F. Alonso-Fernandez, J. Barrachina, K. Hernandez Diaz, J. Bigun, “SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms”, Proc. IAPR TC4 Workshop on Mobile and Wearable Biometrics, WMWB, in conjunction with Intl Conf on Pattern Recognition, ICPR, 2020, Milan, Italy, 10-15 January 2021

  • Available at https://github.com/HalmstadUniversityBiometrics/SqueezeFacePoseNet-Lightweight-Face-Recognition


Iris Segmentation Code (2015)

  • Software code for iris segmentation based on the Generalized Structure Tensor (GST)

  • Described in publication: F. Alonso-Fernandez, J. Bigun, “Iris Boundaries Segmentation Using the Generalized Structure Tensor”, Proc. Intl Conf on Biometrics: Theory, Apps and Systems, BTAS, Washington DC, September 23-26, 2012

  • Available at https://github.com/HalmstadUniversityBiometrics/Iris-Segmentation-GST-Matlab



Published Databases


Participation in the design, collection, supervision, management, integration and distribution of several databases. In several cases, the work is the result of collaborative European or national (Spanish) public projects. Other cases include the engagement of MSc students in the acquisition, as part of their research. All databases are available (or will be made available) to the research community. In most cases, there is a publication describing the database, which is usually co-written by all participating institutions.



Database of images for drone detection (2020)

  • Dataset containing IR, visible and audio data that can be used to train and evaluate drone detection sensors and systems. The dataset contains 90 audio clips and 650 videos (365 IR and 285 visible). If all images are extracted from all the videos the dataset has a total of 203328 annotated images. Video labels: Airplane, Bird, Drone and Helicopter. Audio labels: Drone, Helicopter and Background.

  • Generated in the context of the M.S. thesis of Fredrik Svanström, “Drone detection and classification using sensor fusion and machine learning” (http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42141)

  • Experiments with the database reported in the publication: F. Svanström, C. Englund, F Alonso-Fernandez, “Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors”, Proc. Intl Conf on Pattern Recognition, ICPR, Milan, Italy, 10-15 January 2021 (online) https://arxiv.org/abs/2007.07396

  • Database described in detail in the publication: F. Svanström, F Alonso-Fernandez, C. Englund, “A Dataset for Multi-Sensor Drone Detection”, Data in Brief, Elsevier, vol. 39, Dec 2021 https://arxiv.org/abs/2111.01888. https://doi.org/10.1016/j.dib.2021.107521

  • Available at https://github.com/DroneDetectionThesis/Drone-detection-dataset



Database of ground-truth iris segmentation (2014)

  • Segmentation data of nearly 10000 iris images, in conjunction with Salzburg University (Austria), with the objective of enabling accurate evaluation of iris segmentation algorithms.

  • Described in the publication: H. Hofbauer, F. Alonso-Fernandez, P. Wild, J. Bigun, A. Uhl, “A Ground Truth for Iris Segmentation”, Proc. 22nd International Conference on Pattern Recognition, ICPR, Stockholm, August 24-28, 2014

  • Available at https://github.com/HalmstadUniversityBiometrics/Iris-Segmentation-Groundtruth-Database


ATVS-FakeIris Database (ATVS-FIr DB)

  • Development and acquisition with two supervised MSc students (800 real iris and associated fake image samples). Real samples are from the BioSec database (below), captured with a LG Iris Access EOU3000. Fake samples acquired with the same sensor from high quality printed images of the original samples.

  • Described in the publication: V. Ruiz-Albacete, P. Tome-Gonzalez, F. Alonso-Fernandez, J. Galbally, J. Fierrez, and J. Ortega-Garcia, “Direct attacks using fake images in iris verification”, Proc. COST 2101 Workshop on Biometrics and Identity Management, BIOID, Roskilde University, Denmark, 7-9 May 2008

  • Available at https://atvs.ii.uam.es/atvs/databases.jsp


ATVS- FakeFingerprint Database (ATVS-FFp DB)

  • Participation in the development and acquisition with the (then) PhD-student and co-worker J. Galbally (2250 real and associated fake fingerprint images). Fake samples captured from gummy fingers generated both with and without the cooperation of the user. Three different sensors used: flat-optical, flat-capacitive and sweeping-thermal.

  • Described in the publication: J. Galbally, F. Alonso-Fernandez, J. Fierrez, J. Ortega-Garcia, “A High Performance Fingerprint Liveness Detection Method Based on Quality Related Features”, Elsevier Future Generation Computer Systems Journal, 28 (1): 311-321, January 2012

  • Available at https://atvs.ii.uam.es/atvs/databases.jsp


Multimodal Biometric Database “BioSecure BMDB” (2007-2008)

  • Participation in the development, acquisition, supervision and distribution (600 individuals in 2 sessions at 11 European institutions) under the public European R&D BioSecure FP6 NoE (IST-2002-507634)

  • Database used in various evaluations of technology (BMEC´07, BMFSC´09, BSEC´09)

  • Described in the publication: J. Ortega-Garcia, J. Fierrez, F. Alonso-Fernandez, et al. “The Multi-Scenario Multi-Environment BioSecure Multimodal Database (BMDB)”, IEEE Trans. On Pattern Analysis and Machine Intelligence, 32 (6): 1097-1111, June 2010, ISSN: 0162-8828

  • Available at https://biosecure.wp.imtbs-tsp.eu/biosecure-database/


Multimodal Biometric Database “BIOSECUR-ID” (2006)

  • Participation in the development, acquisition, supervision and distribution (400 individuals in 4 sessions at 6 Spanish institutions) under the public Spanish R&D project BIOSECUR-ID (TIC2003-08382-C05)

  • Described in the publication: J. Fierrez, J. Galbally, J. Ortega-Garcia, M. R. Freire, F. Alonso-Fernandez, D. Ramos, D. T. Toledano, J. Gonzalez-Rodriguez, J. A. Siguenza, J. Garrido-Salas, E. Anguiano, G. Gonzalez-de-Rivera, R. Ribalda, M. Faundez-Zanuy, J. A. Ortega, V. Cardeñoso-Payo, A. Viloria, C. E. Vivaracho, Q. I. Moro, J. J. Igarza, J. Sanchez, I. Hernaez, C. Orrite-Uruñuela, F. Martinez-Contreras and J. J. Gracia-Roche, “BiosecurID: A Multimodal Biometric Database", Pattern Analysis and Applications, 13 (2): 235-246, May 2010, ISSN: 1433-7541


Multimodal Biometric Database “BioSec” (2005-2006)

  • Participation in the development, acquisition, supervision and distribution (250 individuals in 4 sessions at 4 European institutions) under the public European R&D BioSec FP6 IP (IST-2002-001766)

  • Described in the publication: J. Fierrez, J. Ortega-Garcia, D. Torre-Toledano and J. Gonzalez-Rodriguez, "BioSec baseline corpus: A multimodal biometric database", Pattern Recognition, Vol. 40, n. 4, pp. 1389-1392, April 2007