All Stories

  1. Deep Learning for Iris Recognition: A Survey

    Article • ACM Computing Surveys, March 2024, ACM (Association for Computing Machinery)

    Kien Nguyen Thanh, Hugo Proença

  2. Deep representations for cross-spectral ocular biometrics

    Article • IET Biometrics, November 2019, the Institution of Engineering and Technology (the IET)

    Hugo Proença

  3. QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios

    Article • IET Biometrics, October 2017, the Institution of Engineering and Technology (the IET)

    Hugo Proença

  4. IRINA: Iris Recognition (Even) in Inaccurately Segmented Data

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  5. Face recognition: handling data misalignments implicitly by fusion of sparse representations

    Article • IET Computer Vision, April 2015, the Institution of Engineering and Technology (the IET)

    Hugo Proença

  6. Iris Recognition: What Is Beyond Bit Fragility?

    Article • IEEE Transactions on Information Forensics and Security, February 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  7. Ocular Biometrics by Score-Level Fusion of Disparate Experts

    Article • IEEE Transactions on Image Processing, December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  8. Performance evaluation of keypoint detection and matching techniques on grayscale data

    Article • Signal Image and Video Processing, August 2013, Springer Science + Business Media

    Hugo Proença

  9. Iris Biometrics: Synthesis of Degraded Ocular Images

    Article • IEEE Transactions on Information Forensics and Security, July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  10. Automatic Annotation of Leishmania Infections in Fluorescence Microscopy Images

    Article • January 2013, Springer Science + Business Media

    Hugo Proença

  11. Compensating for pose and illumination in unconstrained periocular biometrics

    Article • International Journal of Biometrics, January 2013, Inderscience Publishers

    Hugo Proença

  12. Iris Recognition in the Visible Wavelength

    Article • October 2012, Springer Science + Business Media

    Hugo Proença

  13. Multimodal ocular biometrics approach: A feasibility study

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  14. Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests

    Article • IEEE Transactions on Information Forensics and Security, April 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  15. Periocular recognition: Analysis of performance degradation factors

    Article • March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  16. A robust eye-corner detection method for real-world data

    Article • October 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  17. Introduction to the special issue on unconstrained biometrics: advances and trends

    Article • Signal Image and Video Processing, July 2011, Springer Science + Business Media

    Professor Jacob Scharcanski, Hugo Proença

  18. UBEAR: A dataset of ear images captured on-the-move in uncontrolled conditions

    Article • April 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  19. Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength

    Article • IEEE Transactions on Information Forensics and Security, March 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  20. Iris Recognition: Preliminary Assessment about the Discriminating Capacity of Visible Wavelength Data

    Article • December 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  21. Iris recognition: Analyzing the distribution of the iriscodes concordant bits

    Article • October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  22. The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  23. Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  24. Cross-polarization interference cancelation (XPIC) performance in presence of non-linear effects

    Article • April 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  25. Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move

    Article • Image and Vision Computing, February 2010, Elsevier

    Hugo Proença

  26. Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage

    Article • Image and Vision Computing, January 2010, Elsevier

    Hugo Proença

  27. On the feasibility of the visible wavelength, at-a-distance and on-the-move iris recognition

    Article • March 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  28. Biometric Recognition: When Is Evidence Fusion Advantageous?

    Article • January 2009, Springer Science + Business Media

    Hugo Proença

  29. On the Role of Interpolation in the Normalization of Non-ideal Visible Wavelength Iris Images

    Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  30. Combining rectangular and triangular image regions to perform real-time face detection

    Article • October 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  31. Iris Recognition: A Method to Segment Visible Wavelength Iris Images Acquired On-the-Move and At-a-Distance

    Article • January 2008, Springer Science + Business Media

    Hugo Proença

  32. Optimal Design of Digital IIR Filters Using Real Structured Genetic Algorithm

    Article • December 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  33. Iris Recognition: A Method to Increase the Robustness to Noisy Imaging Environments through the Selection of the Higher Discriminating Features

    Article • December 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  34. The NICE.I: Noisy Iris Challenge Evaluation - Part I

    Article • September 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  35. Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, April 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  36. A Structural Pattern Analysis Approach to Iris Recognition

    Article • January 2007, Springer Science + Business Media

    Hugo Proença

  37. Iris Recognition: An Analysis of the Aliasing Problem in the Iris Normalization Stage

    Article • November 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  38. Iris Recognition: Measuring Feature's Quality for the Feature Selection in Unconstrained Image Capture Environments

    Article • October 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  39. A method for the identification of inaccuracies in pupil segmentation

    Article • January 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  40. A Method for the Identification of Noisy Regions in Normalized Iris Images

    Article • January 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Hugo Proença

  41. Iris segmentation methodology for non-cooperative recognition

    Article • IEE Proceedings - Vision Image and Signal Processing, January 2006, the Institution of Engineering and Technology (the IET)

    Hugo Proença