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hugomcp@di.ubi.pt
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NECOVID: Covert Negative Biometric Recognition
PTDC/EIA-EIA/103945/2008
Start date: 03-05-2010.
End date: 30-04-2013.
Budget: 86.685€
Host Institution: University of Beira Interior.
Participant Institution: IT-Institute for Telecommunications.
The project is being developed in the Soft Computing and Image Analysis Lab
with colaboration of the Optics center of the
University of Beira Interior.
Brief Project
Description
The
main purpose of this project is to address the feasibility of an automated
system that performs covert and reliable biometric recognition, using the
iris as single trait. Obviously, this type of biometric recognition is
extremely ambitious and brings many challenges to the pattern recognition
task, namely due to the many types of non-deal images that result of the
imaging conditions and acquisition protocols (at-a-distance, on-the-move and
under dynamic lighting conditions)
The proposed approach to deal with these extremely challenging conditions is
based on the concept of negative (a-contrario)
recognition, i.e., to prove that an individual is not among a group of people
already known to the system. The key insight is that although the quality of
the captured data possibly denies the positive recognition with enough
confidence, perhaps it is still possible to assure that data is not
correspondent to a subset of the enrolled templates, which for most of the
everyday situations is the essential. The range of potential applications to
the type of system proposed for this project is obvious. Indeed, this type of
applications is regarded for the Pattern Recognition community as ‘’the
grand-challenge’’ (e.g., "Biometrics: a grand-challenge", A.K.
Jain), due to the implications that they can have in modern societies.
Team
- Hugo Pedro
Martins Carriço Proença (25%,
project coordinator)
- Luís Filipe Barbosa de Almeida Alexandre
(10%)
- Paulo André Pais Fazendeiro (15%)
- Pedro Domingues de
Almeida (15%)
- Gil Melfe Mateus Santos (100%)
- Somying
Thainimit (100% during 6 months)
- Chandrashekhar Padole (100% during 12 months)
News
- The research grant “NECOVID-BI3”
(start date: 01-06-2011, end date: 31-05-2012) was awarded to
Chandrashekhar Padole. The main goal of this research grant is to
propose effective data encoding and matching techniques able to be used
in a negative recognition scenario.
- The research grant “NECOVID-BI2a”
(start date: 01-06-2011, end date: 30-11-2011) was awarded to Somying
Thainimit. The main goal of this research grant is to adapt the image
acquisition framework used in the BIOREC research project (PTDC/EIA/69106/2006), in order to perform data acquisition covertly.
- The research grant “NECOVID-BI2”
(start date: 01-09-2010, end date: 31-08-2011) was awarded to Sílvio
Brás Filipe. The main goal of this research grant is to adapt the image
acquisition framework used in the BIOREC research project (PTDC/EIA/69106/2006), in order to perform data acquisition covertly.
- The research grant “NECOVID-BI1” (start date: 03-05-2010, end date: 02-03-2011)
was awarded to Gil Melfe Mateus
Santos. The main goal of this research grant is to study the
state-of-the-art techniques in “Object recognition”, “Negative object
recognition”, “A-contrario object recognition”
and “Less constrained iris biometrics”.
Indicators
- (International Jornal).
Hugo Proença and Luís A. Alexandre; Toward Covert Iris Biometric
Recognition: Experimental Results From the NICE Contests, IEEE
Transactions on Information Forensics and Security, volume ?, issue ?,
pag. ?-?, ISSN 1556-6013, Digital Object Identifier ? (to appear)
- (International Jornal). Hugo
Proença and Gil Santos; Fusing Color and Shape Descriptors in the
Recognition of Degraded Iris Images Acquired at Visible Wavelength,
Elsevier Computer Vision and Image Understanding, volume ?, issue ?,
pag. ?-?, ISSN 1077-3142, Digital Object Identifier ? (to appear)
- (International Conference). Gil Santos and Hugo Proença; A Robust Eye-Corner Detection Method for Real-World Data, in Proceedings of the IEEE International Joint Conference on Biometrics – IJCB 2011, Washington DC, U.S.A., October 11-13, 2011, ISBN: ??. (to appear)
- (International Conference). Hugo
Proença; Non-Cooperative Iris Recognitions: Issues and trends, in
Proceedings of the EUSIPCO'11 - Nineteenth European Signal Processing
Conference, Barcelona, Spain, August 29 - September 2, pag. ?-?, 2011
(to appear).
- (International Jornal). Gil Santos, Edmundo Hoyle; A Fusion Approach to Unconstrained Iris Recognition, Pattern Recognition Letters, special issue on the "Recognition of Visible Wavelength Iris Images Acquired On-The-Move and At-A-Distance", vol. ?, pag.
?-?, 2011. (to appear)
- (International Conference). Rui
Raposo, Edmundo Hoyle, Adolfo Peixinho, Hugo Proença; UBEAR: A Dataset
of Ear Images Captured On-the-move in Uncontrolled Conditions, in 2011
IEEE Workshop on Computational Intelligence in Biometrics and Identity
Management (SSCI 2011 CIBIM), Paris, France, April 11 - April 15, pag.
?-?, 2010. (to appear)
- (International Jornal). Hugo Proença; Quality Assessment of Degraded Iris
Images Acquired in the Visible Wavelength, IEEE Transactions on
Information Forensics and Security, March 2011, volume 6, issue 1, pag. 82-95,
ISSN 1556-6013, Digital Object Identifier http://doi.ieeecomputersociety.org/10.1109/TIFS.2010.2086446
- (International Conference). Gil Santos, Marco Bernardo, Paulo Fiadeiro e Hugo
Proença; Iris Recognition: Preliminary Assessment about the
Discriminating Capacity of Visible Wavelength Data, in Sixth IEEE
International Workshop on Multimedia Information Processing and
Retrieval (MIPR 2010), Taichung, Taiwan, December 13 - December 15, pag. 324-329, 2010.
- (International Conference). Gil Santos, Hugo Proença; Iris Recognition:
Analysing the Distribution of the Iriscodes Concordant Bits, in
IEEE Proceedings of the 3rd International Congress on Image and Signal
Processing (CISP 2010), Yantai, China, October 16 - October 18, vol. 4, pag. 1873-1877, 2010.
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