Department of Computer Science of the University of Beira Interior

/ubi / di

 

 

 

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 24 months)
  • Juan Moreno (100% during 12 months)

 


 

News

 

  • The research grant “NECOVID-BIC1” (start date: 01-01-2013, end date: 30-10-2013) was awarded to Nuno C. Garcia. The main goal of this research grant is to propose new 3D biometric lips recognition techniques.

  • The research grant “NECOVID-BI5” (start date: 01-12-2012, end date: 30-11-2013) was awarded to Juan Moreno Briceno. The main goal of this research grant is to propose new technqiues to perform biometric recognition on low quality data acquired from mobile devices.

  • The research grant “NECOVID-BI4” (start date: 01-12-2012, end date: 30-11-2013) was awarded to Chandrashekhar Padole. The main goal of this research grant is to propose soft biometric techniques for low quality data acquired from surveillance cameras.

  • 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 Conference). Juan C. Moreno, V. B. Surya Prasath, Hugo Proença; Robust Periocular Recognition by Fusing Local to Holistic Sparse Representation in Proceedings of the 6th International Conference on Security of Information and Networks, vol. ?, pag. ?-? , Aksaray, November 26-28, 2013. (to appear)

  • (International Conference). Hugo Proença, João C. Neves; Creating Synthetic IrisCodes to Feed Biometrics Experiments in Proceedings of the 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, pag. 8-13 , Napoli, September 9, 2013, ISBN: 978-1-4799-0625-3. [pdf]

  • (Book Chapter).  Hugo Proença, João C. Neves, J. Sequeiros, N. Carapito, N. C. Garcia; Biometric Identification from Facial Sketches of Poor Fidelity: Comparison of Human and Machine Performance, Signal and Image Processing for Biometrics : State of the Art and Recent Advances, Jacob Scharcanski, Hugo Proença, Eliza Yingzi Du (Eds.), Springer Verlag book series, 2013, ISBN: ??. (to appear)

  • (Book Chapter). Hugo Proença, Gil Santos, João C. Neves; Using Ocular Data for Unconstrained Biometric Recognition, Face Recognition in Adverse Conditions, Maria De Marsico, Michele Nappi, Massimo Tistarelli (Eds.), IGI Global, 2013, ISBN: ??. (to appear)

  • (International Journal). Hugo Proença; Iris Biometrics: Indexing and Retrieving Heavily Degraded Data, IEEE Transactions on Information Forensics and Security, volume ?, issue ?, pag. ?-?, ISSN 1556-6013, Digital Object Identifier 10.1109/TIFS.2013.2283458, 2013. (to appear)

  • (International Journal). Hugo Proença, Juan C. Moreno; Periocular Biometrics: Constraining the EGM Algorithm to Biologically Plausible Distortions, IET Biometrics, volume ?, issue ?, pag. ?-?, ISSN: 2047-4938, Digital Object Identifier 10.1049/iet-bmt.2013.0039, 2013. (to appear)

  • (International Journal). Hugo Proença; Performance Evaluation of Image Local Keypoints Detection and Matching Techniques, Springer Signal, Image and Video Processing, volume ?, issue ?, pag. ?-?, ISSN: 1863-1703, Digital Object Identifier 10.1007/s11760-013-0535-1, 2013. (to appear)

  • (International Journal). Chandrashekhar Padole, Hugo Proença; Compensating for Pose and Illumination in Unconstrained Periocular Biometrics, International Journal of Biometrics, volume 5, no. 3/4, pag. 336-359, ISSN 1755-8301, 2013.

  • (International Journal).Luís Cardoso, André Barbosa, Frutuoso G. Silva, António Pinheiro, Hugo Proença; Iris Biometrics: Synthesis of Degraded Ocular Images, IEEE Transactions on Information Forensics and Security, volume 8, issue 7, pag. 1115-1125, ISSN 1556-6013, Digital Object Identifier 10.1109/TIFS.2013.2262942, 2013.

  • (International Conference) S. Thainimit, Luís A. Alexandre and V. de Almeida, "Iris Surface Deformation and Normalization", 13th International Symposium on Communications and Information Technologies pp. ?-?, September 4--6, Thailand (to appear).

  • (International Conference). Sílvio Filipe and Luís A. Alexandre, "Thermal Infrared Face Segmentation: A New Pose Invariant Method", 6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2013), LNCS 7887, pp. 632-639, June 5--7, Madeira, Portugal, Springer (2013).

  • (International Conference). Elisa Barroso, Gil Santos, Hugo Proença; Facial Expressions: Discriminability of Facial Regions and Relationship to Biometrics Recognition in Proceedings of the IEEE Symposium on Computational Intelligence in Biometrics and Identity Management  - CIBIM 2013 , Singapore, April 16-19. (to appear).

  • (International Conference). Gil Santos, Hugo Proença; Periocular Biometrics: An Emerging technology for Unconstrained Scenarios, in Proceedings of the IEEE Symposium on Computational Intelligence in Biometrics and Identity Management  - CIBIM 2013 , Singapore, April 16-19. (to appear).

  • (International Conference). P. Fazendeiro, C. Padole, P. Sequeira and P. Prata; OpenCL implementations of a genetic algorithm for feature selection in periocular biometric recognition, in Proceedings of the Third Swarm, Evolutionary and memetic Computing Conference – SEMCCO 2012, Odisha, India, December 20-22, 2012.

  • (International Conference). Oleg V. Komogortsev, Alex Karpov, Corey Holland and Hugo Proença; Multimodal Ocular Biometrics Approach: A Feasibility Study, in Proceedings of the IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems – BTAS 2012, Washington DC, U.S.A., September 23-26, 2012, ISBN: 978-1-4244-1597-7.

  • (Book Chapter) Hugo Proença; Iris Recognition in the Visible Wavelength: Issues and Trends, Handbook of Iris Recognition, Mark J. Burge and K. Bowyer (Eds.), Springer Verlag book series, 2013, XXII, ISBN: 978-1-4471-4401-4.

  • (International Journal). Hugo Proença, Luís A. Alexandre; Editorial of the Special Issue On the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the-move, Elsevier Pattern Recognition Letters, vol. 33, pag. 963-964, June, 2012, doi: http://dx.doi.org/10.1016/j.patrec.2012.03.003.

  • (International Conference). Chandrashekhar Padole, Hugo Proença; Periocular Recognition: Analysis of Performance Degradation Factors, in Proceedings of the Fifth IAPR/IEEE International Conference on Biometrics – ICB 2012, New Delhi, India, March 30-April 1, 2012.

  • (International Journal). 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 7, issue 2, pag. 798-808, ISSN 1556-6013, Digital Object Identifier.

  • (International Journal). 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 116, pag. 167-178, ISSN 1077-3142.

  • (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.

  • (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, 2011.

  • (International Journal). 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. 33, no. 8, pag. 984-990, 2011.

  • (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, 2010.

  • (International Journal). 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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