Proença, Hugo

Personal Information:

Position: Professor
Research Area: Uncategorized

Publications

  • H. Proença. "Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength", Information Forensics and Security, IEEE Transactions on, Vol. 6, March, 2011, pp. 82-95. [More] 
  • H. Proença and L. Alexandre. "On the Segmentation of Visible Wavelength Iris Images Acquired At-a-Distance and On-the-Move", Elsevier Image and Vision Computing, Vol. 28. 2010. [More] 
  • H. Proença. "Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength", IEEE Transactions on Information Forensics and Security, Vol. ?. 2010, pp. ?-?. [More] 
  • G. Santos, M. Bernardo, P. Fiadeiro and H. Proença. "Iris Recognition: Preliminary Assessment about the Discriminating Capacity of Visible Wavelength Data". Sixth IEEE International Workshop on Multimedia Information Processing and Retrieval (MIPR 2010). 2010. pp. ?-?. [More] 
  • G. Santos and H. Proença. "Iris Recognition: Analysing the Distribution of the Iriscodes Concordant Bits". IEEE Proceedings of the 3rd International Congress on Image and Signal Processing (CISP 2010). 2010. pp. ?-?. [More] 
  • H. Proença. "Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, August, 2010, pp. 1502-1516. [More] 
  • H. Proença, S. Filipe, R. Santos, J. P. Oliveira and L. Alexandre. "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, August, 2010, pp. 1529-1535. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: Analysis of the Error Rates Regarding the Accuracy of the Segmentation Stage", Elsevier Image and Vision Computing, Vol. 28, January, 2010, pp. 202-206. [More] 
  • H. Proença. "An Iris Recognition Approach Through Structural Pattern Analysis Methods", Wiley Expert Systems, Special Issue on Computer Recognition Systems, Vol. 27. 2010, pp. 6-16. [More] 
  • H. Proença and L. Alexandre. "Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move", Elsevier Image and Vision Computing, Vol. 28, February, 2010, pp. 213-214. [More] 
  • J. P. Oliveira and H. Proença. "Caries Detection in Panoramic Dental X-ray Images". Tavares, J. M. S., Jorge and R. M. Natal eds. Springer Verlag book series: Computational Methods in Applie. 2010. pp. 175-190. [More] 
  • H. Proença. "Biometric Recognition: When Is Evidence Fusion Advantageous?". Springer Lecture Notes in Computer Science (vol. 5876) – ISVC 2009: 5th International Symposium on Visual Computing. 2009. pp. 698-708. [More] 
  • H. 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. 2009. pp. 9-15. [More] 
  • G. Santos and H. 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). 2009. pp. 315-319. [More] 
  • H. Proença and S. Filipe. "Combining Rectangular and Triangular Image Regions to Perform Real-Time Face Detection". IEEE Proceedings of the International Conference on Signal Processing - ICSP'08. 2008. pp. 903-908. [More] 
  • H. 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. 2008. pp. 731-742. [More] 
  • H. Proença. "A Structural Pattern Analysis Approach to Iris Recognition". Springer Lecture Notes in Computer Science, Advances in Soft Computing – CORES 2007: 5th International Conference on Computer Recognition Systems. 2007. pp. 731-738. [More] 
  • H. Proença and L. Alexandre. "Toward Non-Cooperative Iris Recognition: A Classification Approach Using Multiple Signatures", IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue on Biometrics, Vol. 9, July, 2007, pp. 607-612. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments". Springer Lecture Notes in Computer Science – ISVC 2007: 3rd International Symposium on Visual Computing. 2007. pp. 621-632. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: A Method to Increase the Robustness to Noisy Imaging Environments Through the Selection of the Higher Discriminating Features". IEEE Proceedings of the International Conference on Computational Intelligence and Multimedia Applications - ICCIMA'07. 2007. pp. 301-307. [More] 
  • H. Proença. "Towards Non-Cooperative Biometric Iris Recognition". University of Beira Interior. Covilhã. 2007. [More] 
  • H. Proença and L. Alexandre. "The NICE.I: Noisy Iris Challenge Evaluation – Part I". Proceedings of the IEEE First International Conference on Biometrics: Theory, Applications and Systems – BTAS 2007. 2007. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: Measuring Feature’s Quality for the Feature Selection in Unconstrained Image Capture Environments". IEEE Proceedings of the 2006 International Conference on Computational Intelligence for Homeland Security and Personal Safety - CIHSPS 2006. 2006. pp. 35-40. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: An Analysis of the Aliasing Problem in the Iris Normalization Stage". IEEE Proceedings of the 2006 International Conference on Computational Intelligence and Security - CIS 2006. 2006. pp. 1771-1774. [More] 
  • H. Proença and L. Alexandre. "A Method for the Identification of Noisy Regions in Normalized Iris Images". IEEE Proceedings of the 18th International Conference on Pattern Recognition - ICPR 2006. 2006. pp. 405-408. [More] 
  • H. Proença and L. Alexandre. "A Method for the Identification of Inaccuracies in the Pupil Segmentation". IEEE Proceedings of the First International Conference on Availability, Reliability and Security - AReS 2006. 2006. pp. 227-230. [More] 
  • H. Proença and L. Alexandre. "An iris segmentation methodology for non-cooperative recognition", IEE Proc. Vision, Image & Signal Processing, Vol. 153, April, 2006, pp. 199-205. [More] 
  • H. Proença and L. Alexandre. "UBIRIS: A noisy iris image database". 13th International Conference on Image Analysis and Processing - ICIAP. 2005. pp. 970-977. [More] 

Projects

Theses