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BIOREC





Project BioRec - Non-Cooperative Multimodal Biometric Recognition
PTDC/EIA/69106/2006, financed by FCT, COMPETE and FEDER.

Start date: 2007-10-15
End date: 2011-03-31
Financing: 130.000 €

Host Institution: University of Beira Interior (UBI)
The project is being develop in the SOCIA Lab (Department of Informatics).

Goal

The goal of the project is the development of a system for recognizing people at a distance without their cooperation, using iris and face (on the visible and infrared) detection and recognition techniques. The project has developed new methods for:
  • iris segmentation in the visible wavelength
  • iris recognition in the visible wavelength
  • real-time face detection in the visible wavelength
  • face segmentation in the visible and far infrared
  • face recognition in visible wavelength
  • motion tracking in the far infrared
  • gender recognition from visible wavelength face images

Team

  • Luís Filipe Barbosa de Almeida Alexandre (project coordinator)
  • Pedro Domingues de Almeida
  • Hugo Pedro Martins Carriço Proença
  • Francisco Catarino
  • Ricardo Santos
  • Gil Santos
  • João Oliveira
  • Sílvio Brás Filipe
  • Tiago Velho
  • Rui Silva
  • Chandrashekhar Padole
  • Emundo Hoyle
  • Rui Raposo
  • Diogo Correia

Publications

The following is the list of publications that originated from BioRec.

MSc Thesis

  1. Gil Santos
    "Non-cooperative Iris Recognition"
    UBI, August 2009
  2. Francisco Catarino
    "Segmentação da íris em imagens com ruído "
    UBI, August 2009
  3. Sílvio Filipe
    "Segmentação de Faces em Imagens no Infravermelho Térmico"
    UBI, July 2010

International Journals

  1. Santos, G., Hoyle, E.
    "A fusion approach to unconstrained iris recognition" ,
    Pattern Recognition Letters, To appear, 2011.

  2. Alexandre, L.A.
    "Gender recognition: a multiscale decision fusion approach",
    Pattern Recognition Letters, Elsevier, Volume 31, Issue 11, p. 1422-1427, August 2010.
    doi:10.1016/j.patrec.2010.02.010

  3. Proença, H., Alexandre, L.A.
    "Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move",
    Image and Vision Computing, Elsevier, vol. 28, number 2, p.213-214, February 2010.
    doi:10.1016/j.imavis.2009.09.004

  4. Almeida, P.
    "A knowledge-based approach to the iris segmentation problem" ,
    Image and Vision Computing, 28(2):238 - 245, February 2010.

  5. Proença, H.
    "An Iris Recognition Approach Through Structural Pattern Analysis Methods" ,
    Expert Systems, 27(1):6-16, 2010.

  6. Proença, H.
    "Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength" ,
    August, 2010, volume 32, number 8, pag. 1502-1516,
    doi:10.1109/TPAMI.2009.140

  7. Proença, H., Filipe, S., Santos, R., Oliveira, J., Alexandre, L.A.
    "The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-The-Move and At-A-Distance" ,
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, n. 8, p. 1529-1535, August 2010.
    doi:10.1109/TPAMI.2009.66

  8. Proença, H., Alexandre, L.A.
    "Iris Recognition: Analysis of the Error Rates Regarding the Accuracy of the Segmentation Stage",
    Image and Vision Computing, 28(1): 202-206, January 2010.
    doi:10.1016/j.imavis.2009.03.003

International Conferences

  1. Padole, C.N., Alexandre, L.A.
    Motion based Particle Filter for Human Tracking with Thermal Imaging
    3rd International Conference on Emerging Trends in Engineering & Technology -- ICETET10, p.158 - 162, November 19-21, Goa, India, 2010.

  2. Filipe, S., Alexandre, L.A.
    Improving Face Segmentation in Thermograms using Image Signatures
    15th Iberoamerican Congress on Pattern Recognition -- CIARP 2010, Springer LNCS 6419, p.402-409, November 08-11, São Paulo, Brazil, 2010.

  3. Padole, C.N., Alexandre, L.A.
    Wigner Distribution based Motion Tracking of Human Beings using Thermal Imaging
    7th IEEE Workshop on Object Tracking and Classification Beyond and in the Visible Spectrum (In conjunction with IEEE CVPR 2010) , San Francisco, 2010.

  4. Santos,R. and Alexandre,L.A.
    Improving Spectroface using Pre-processing and Voting
    IEEE Proceedings of the 2009 International Conference on Intelligent Computing and Intelligent Systems - ICIS 2009, vol.4, p.552-556, Shanghai, China, November, 2009

  5. Gil Santos and Hugo Proença
    On the Role of Interpolation in the Normalization of Non-Ideal Visible Wavelength Iris Images
    IEEE Proceedings of the 2009 International Conference on Computational Intelligence and Security (CIS'09), vol 1, pag. 315-319, Beijing, China, December 11 - December 14, 2009

  6. Hugo Proença
    Biometric Recognition: When Is Evidence Fusion Advantageous ?,
    Springer Lecture Notes in Computer Science - ISVC 2009: 5th International Symposium on Visual Computing, Las Vegas, Nevada, U.S.A., October 30 -November 2, 2009

  7. Hugo Proença
    On the Feasibility of the Visible Wavelength, At-A-Distance and On-The-Move Iris Recognition.
    IEEE Symposium Series on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, Nashville, Tennessee, U.S.A., March 30 - April 2, 2009, (invited paper) (to appear)

  8. Hugo Proença
    Iris Recognition: A Method To Segment Visible Wavelength Iris Images Acquired On-The-Move and At-A-Distance
    Springer Lecture Notes in Computer Science - ISVC 2008: 4th International Symposium on Visual Computing, vol. 1, pag.731-742, Las Vegas, Nevada, U.S.A., December 1-3, 2008.

  9. Hugo Proença, Sílvio Filipe.
    Combining Rectangular and Triangular Image Regions to Perform Real-Time Face Detection .
    International Conference on Signal Processing - ICSP'08, vol. 1, pag. 903-908, Beijing, China, October 26-29, 2008

  10. Hugo Proença, Luís A. Alexandre.
    Iris Recognition: A Method to Increase the Robustness to Noisy Imaging Environments Through the Selection of the Higher Discriminating Features, .
    IEEE International Conference on Computational Intelligence and Multimedia Applications - ICCIMA'07, vol. 3, p. 301-307, Sivakasi, India, December, 2007.

  11. Hugo Proença, Luís A. Alexandre.
    Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments .
    3rd International Symposium on Visual Computing - ISVC'07, Springer LNCS 4841, p.621-632, Lake Tahoe, U.S.A., November, 2007.

Software

Annotation Tools for video sequeces. Download here.

Webpage created and maintained by L. Alexandre