Hugo Proença
Hugo Proença
Full Professor, University of Beira Interior, IT: Instituto de Telecomunicações, Portugal
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Cited by
Cited by
UBIRIS: A noisy iris image database
H Proença, LA Alexandre
Image Analysis and Processing–ICIAP 2005, 970-977, 2005
The UBIRIS. v2: A database of visible wavelength iris images captured on-the-move and at-a-distance
H Proença, S Filipe, R Santos, J Oliveira, LA Alexandre
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (8), 1529-1535, 2009
Iris segmentation methodology for non-cooperative recognition
H Proença, LA Alexandre
IEE Proceedings-Vision, Image and Signal Processing 153 (2), 199-205, 2006
Toward noncooperative iris recognition: A classification approach using multiple signatures
H Proença, LA Alexandre
IEEE transactions on pattern analysis and machine intelligence 29 (4), 607-612, 2007
Iris recognition: On the segmentation of degraded images acquired in the visible wavelength
H Proenca
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (8), 1502-1516, 2009
Ganprintr: Improved fakes and evaluation of the state of the art in face manipulation detection
JC Neves, R Tolosana, R Vera-Rodriguez, V Lopes, H Proença, J Fierrez
IEEE Journal of Selected Topics in Signal Processing 14 (5), 1038-1048, 2020
Periocular recognition: Analysis of performance degradation factors
CN Padole, H Proenca
2012 5th IAPR international conference on biometrics (ICB), 439-445, 2012
Deep-prwis: Periocular recognition without the iris and sclera using deep learning frameworks
H Proença, JC Neves
IEEE Transactions on Information Forensics and Security 13 (4), 888-896, 2017
The nice. i: noisy iris challenge evaluation-part i
H Proença, LA Alexandre
2007 First IEEE international conference on biometrics: theory, applications …, 2007
Toward covert iris biometric recognition: Experimental results from the NICE contests
H Proenca, LA Alexandre
IEEE Transactions on Information Forensics and Security 7 (2), 798-808, 2011
Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage
H Proença, LA Alexandre
Image and vision computing 28 (1), 202-206, 2010
Towards non-cooperative biometric iris recognition
H Proenca
University of Beira Interior. Department of Computer Science, 2006
Quality assessment of degraded iris images acquired in the visible wavelength
H Proença
IEEE Transactions on Information Forensics and Security 6 (1), 82-95, 2010
Biometric recognition in surveillance scenarios: a survey
J Neves, F Narducci, S Barra, H Proença
Artificial Intelligence Review 46, 515-541, 2016
The p-destre: A fully annotated dataset for pedestrian detection, tracking, and short/long-term re-identification from aerial devices
SVA Kumar, E Yaghoubi, A Das, BS Harish, H Proença
IEEE Transactions on Information Forensics and Security 16, 1696-1708, 2020
Fast and globally convex multiphase active contours for brain MRI segmentation
JC Moreno, VBS Prasath, H Proença, K Palaniappan
Computer Vision and Image Understanding 125, 237-250, 2014
UBEAR: A dataset of ear images captured on-the-move in uncontrolled conditions
R Raposo, E Hoyle, A Peixinho, H Proença
2011 IEEE workshop on computational intelligence in biometrics and identity …, 2011
Caries detection in panoramic dental X-ray images
J Oliveira, H Proença
Computational Vision and Medical Image Processing: Recent Trends, 175-190, 2011
Iris recognition: An analysis of the aliasing problem in the iris normalization stage
H Proenca, LA Alexandre
2006 International Conference on Computational Intelligence and Security 2 …, 2006
Iris recognition: A method to segment visible wavelength iris images acquired on-the-move and at-a-distance
H Proença
International Symposium on Visual Computing, 731-742, 2008
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