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PROTECT SIGNED

Pervasive and UseR Focused BiomeTrics BordEr ProjeCT

Total Cost €

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EC-Contrib. €

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Partnership

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Project "PROTECT" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF READING 

Organization address
address: WHITEKNIGHTS CAMPUS WHITEKNIGHTS HOUSE
city: READING
postcode: RG6 6AH
website: http://www.rdg.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://projectprotect.eu/
 Total cost 4˙981˙752 €
 EC max contribution 4˙981˙752 € (100%)
 Programme 1. H2020-EU.3.7. (Secure societies - Protecting freedom and security of Europe and its citizens)
 Code Call H2020-BES-2015
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2019-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF READING UK (READING) coordinator 1˙082˙707.00
2    VERIDOS GMBH DE (BERLIN) participant 996˙875.00
3    PARIS-LODRON-UNIVERSITAT SALZBURG AT (SALZBURG) participant 628˙197.00
4    EURECOM FR (BIOT) participant 483˙492.00
5    UNIVERSITE DE NAMUR ASBL BE (NAMUR) participant 463˙143.00
6    ITTI SP ZOO PL (POZNAN) participant 390˙875.00
7    WOJSKOWA AKADEMIA TECHNICZNA IM.JAROSLAWA DABROWSKIEGO PL (WARSZAWA) participant 355˙680.00
8    INTREPID MINDS LTD UK (NUNEATON) participant 354˙375.00
9    HOME OFFICE UK (LONDON) participant 158˙906.00
10    KOMENDA GLOWNA STRAZY GRANICZNEJ PL (WARSZAWA) participant 67˙500.00

Map

 Project objective

The goal of the PROTECT project is an enhanced biometric-based person identification system that works robustly across a range of border crossing types and that has strong user-centric features. The system will be deployed in Automated Border Control (ABC) areas supporting border guards to facilitate smooth and non-intrusive rapid crossing by travellers based on deployment of the next generation of biometric identification detection methods. The ability for the system to efficiently process low-risk travellers, combined with increased levels of accuracy, security and privacy standards and enabling border guards to concentrate resource on higher-risk travellers, are central ambitions of the project. To achieve these goals, a multi-biometric enrollment and verification system is envisaged, taking into account current and next-generation e-Passport chips, mobile equipment and person identification ‘on the move’. Research will be undertaken into optimization of currently deployed biometric modalities, application of emerging biometrics (including contactless finger vein, speaker recognition and angthropometrics), multi-modal biometrics and counter-spoofing, for border control scenarios. An integral part of the project is collection and dissemination of new border-realistic biometric datasets, and systematic evaluation of the developed biometric methods including vulnerability and privacy assessment. The PROTECT project is strongly user-driven and demonstration of the developed biometric system will be conducted at two different border crossing sites. Finally, the PROTECT project will make contributions to facilitating border crossing of bona-fide non-EU citizens as well as evolving standards in biometric systems.

 Deliverables

List of deliverables.
Scenario specific sensor solutions Other 2020-04-06 12:36:31
Scenario specific solutions with privacy enhancing technologies Other 2020-04-06 12:36:31
Societal impact report (version 1) Documents, reports 2020-04-06 12:36:31
Legal framework of biometric border control Documents, reports 2020-04-06 12:36:31
Specification of new biometric corridor solution Documents, reports 2020-04-06 12:36:31
Annual report on project progress and activities (year 2) Documents, reports 2020-04-06 12:36:31
Societal impact report (final) Documents, reports 2020-04-06 12:36:31
Biometric sensor solutions for borders Other 2020-04-06 12:36:29
PROTECT protocols and database specifications Other 2020-04-06 12:36:29
System requirement specification and scenarios Documents, reports 2020-04-06 12:36:29
Dissemination and exploitation plan (version 1) Documents, reports 2020-04-06 12:36:29
Project manual and project portal & website Other 2020-04-06 12:36:29
Annual report on project progress and activities (year 1) Documents, reports 2020-04-06 12:36:29
Privacy impact of next-generation biometric border control Documents, reports 2020-04-06 12:36:31

Take a look to the deliverables list in detail:  detailed list of PROTECT deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 F. Dumortier
La sécurité des traitements de données, les analyses d\'impact et les violations de données
published pages: , ISSN: , DOI:
Le Règlement général sur la protection des données (RGPD / GDPR), Analyse approfondie, 1ère édition 2018 2020-04-06
2019 J. Ehsaneddin, A. Uhl, M. Karakaya
Gaze-angle Impact on Iris Segmentation using CNNs
published pages: , ISSN: , DOI:
IEEE 10th International Conference on Biometrics Theory, Applications and Systems 2020-04-06
2018 B. Prommegger, C. Kauba, A. Uhl
Longitudinal Finger Rotation - Problems and Effects in Finger-Vein Recognition
published pages: , ISSN: , DOI:
Proceedings of the International Conference of the Biometrics Special Interest Group 2020-04-06
2019 B. Prommegger, A. Uhl
Rotation Invariant Finger Vein Recognition
published pages: , ISSN: , DOI:
IEEE 10th International Conference on Biometrics Theory, Applications and Systems 2020-04-06
2019 Dominik Söllinger and Babak Maser and Andreas Uhl
PRNU-based finger vein sensor identification: On the effect of different sensor croppings
published pages: , ISSN: , DOI:
Proceedings of the 12th IAPR/IEEE International Conference on Biometrics 2020-04-06
2019 F. Dumortier
Cybersécurité, vie privée, imputabilité, journalisation et log files
published pages: 201-230, ISSN: , DOI:
D.C.C.R. 122-123 2020-04-06
2019 B. Prommegger, A. Uhl
Perspective Multiplication for Multi-Perspective Enrolment in Finger Vein Recognition
published pages: , ISSN: , DOI:
International Conference of the Biometrics Special Interest Group 2020-04-06
2019 J. Ehsaneddin, A. Uhl
Deep Domain Adaption for Convolutional Neural Network (CNN) based Iris Segmentation: Solutions and Pitfalls
published pages: , ISSN: , DOI:
International Conference of the Biometrics Special Interest Group 2020-04-06
2018 M. Kowalski, A. Grudzień
High resolution thermal face dataset for facial and expression recognition
published pages: , ISSN: 0860-8229, DOI: 10.24425/119566
Metrology and Measurement Systems 2020-04-06
2019 Mallat, Khawla; Damer, Naser; Boutros, Fadi; Kuijper, Arjan; Dugelay, Jean-Luc
Cross-spectrum thermal to visible face recognition based on cascaded image synthesis
published pages: , ISSN: , DOI:
12th IAPR International Conference On Biometrics 2020-04-06
2018 K. Mallat, J.-L. Dugelay
Multi-variation visible and thermal face database for cross-spectrum face recognition
published pages: , ISSN: , DOI:
17th International Conference of the Biometrics Special Interest Group 26-29 September 2018 2020-04-06
2019 S. Kirchgasser, Y.-L. Lai, J. Zhe, A. Uhl
Finger-Vein Template Protection based on Alignment-Free Hashing
published pages: , ISSN: , DOI:
IEEE 10th International Conference on Biometrics Theory, Applications and Systems 2020-04-06
2019 B. Prommegger, C. Kauba, A. Uhl
On the Extent of Longitudinal Finger Rotation in Publicly Available Finger Vein Data Sets
published pages: , ISSN: , DOI:
12th IAPR/IEEE International Conference on Biometrics 2020-04-06
2019 Babak Maser, Dominik Söllinger, Andreas Uhl
PRNU-based Finger Vein Sensor Identification in the Presence of Presentation Attack Data
published pages: , ISSN: , DOI:
Proceedings of the Joint ARW/OAGM Workshop 2019 2020-04-06
2019 Mallat, Khawla; Damer, Naser; Boutros, Fadi; Dugelay, Jean-Luc
Robust face authentication based on dynamic quality-weighted comparison of visible and thermal-to-visible images to visible enrollments
published pages: , ISSN: , DOI:
22nd International Conference on Information Fusion 2020-04-06
2019 Bernhard Prommegger, Christof Kauba, Michael Linortner, Andreas Uhl
Longitudinal Finger Rotation—Deformation Detection and Correction
published pages: 123-138, ISSN: 2637-6407, DOI: 10.1109/tbiom.2019.2902020
IEEE Transactions on Biometrics, Behavior, and Identity Science 1/2 2020-04-06
2018 Chiara Galdi, Michele Nappi, Jean-Luc Dugelay, Yong Yu
Exploring New Authentication Protocols for Sensitive Data Protection on Smartphones
published pages: 136-142, ISSN: 0163-6804, DOI: 10.1109/mcom.2017.1700342
IEEE Communications Magazine 56/1 2020-04-06
2018 C. Kauba, A. Uhl
Robustness of finger-vein recognition
published pages: , ISSN: , DOI:
Hand-Based Biometrics: Methods and Technology March 2018 2020-04-06
2019 Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez
Iris super-resolution using CNNs: is photo-realism important to iris recognition?
published pages: 69-78, ISSN: 2047-4938, DOI: 10.1049/iet-bmt.2018.5146
IET Biometrics 8/1 2020-04-06
2018 Dominik Söllinger, Pauline Trung, Andreas Uhl
Non-reference image quality assessment and natural scene statistics to counter biometric sensor spoofing
published pages: 314-324, ISSN: 2047-4938, DOI: 10.1049/iet-bmt.2017.0146
IET Biometrics 7/4 2020-04-06
2017 Ehsaneddin Jalilian, Andreas Uhl, Roland Kwitt
Domain Adaptation for CNN Based Iris Segmentation
published pages: , ISSN: , DOI:
Proceedings of the 16th International Conference of the Biometrics Special Interest Group (BIOSIG\'17) 20 September 2020-04-06
2017 Veronika Haaf, Martin Neukamp, Jutta Hämmerle-Uhl, Andreas Uhl
Real-world Non-NIR Illumination and Wavelength-specific Acquisition Variants in Iris Recognition
published pages: , ISSN: , DOI:
Proceedings of the International Converence on Vision, Image, and Signal Processing (ICVISP) 22 September 2020-04-06
2017 Ehsaneddin Jalilian, Andreas Uhl
Iris Segmentation Using Fully Convolutional Encoder–Decoder Networks
published pages: 133-155, ISSN: , DOI: 10.1007/978-3-319-61657-5_6
Deep Learning for Biometrics 2 August 2020-04-06

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The information about "PROTECT" are provided by the European Opendata Portal: CORDIS opendata.

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