Title:
METHOD FOR EVOLUTIONARY BIOMETRIC RECOGNITION HAVING SPEED AND SECURITY FEATURES SUITABLE FOR POS/ATM APPLICATIONS
Document Type and Number:
WIPO Patent Application WO/2014/097340
Kind Code:
A3
Abstract:
A method for the quick recognition of a person (particularly, a user of a POS or cash dispenser/ATM service), by means of identification codes derivable from biometric data, is described. Such a method comprises the steps of registering at least one user, and recognizing a registered user, out of a plurality of registered users, through a respective recognition event. Each registration event of a user to be registered comprises the steps of acquiring from the user at least one biometric datum of the user; then, encoding, by a coding procedure, the at least one acquired biometric datum into a respective registration identification code of the user; then, associating such registration identification code to the user to be registered; finally, registering the user as a registered user, and registering the associated registration identification code as a registration identification code of the registered user. Each recognition event of a registered user, among a plurality of registered users, comprises the steps of acquiring from the user to be recognized the above- mentioned at least one biometric datum of the user; then, encoding, by the above- mentioned coding procedure, the at least one acquired biometric datum into a respective recognition identification code of the user to be recognized; then, preparing, based on said registered registration identification codes, a comparison set comprising a plurality of comparison identification codes; then, comparing the recognition identification code with each of such plurality of comparison identification codes; then, estimating, for each of such comparisons, a respective matching level; finally, recognizing or refusing recognition of the user to be recognized based on the estimated matching levels. Each of the comparisons between the recognition identification code and one of the comparison identification codes comprises a processing operation carried out by applying at least one trained algorithm. The method further provides for further training the at least one trained algorithm upon the recognition event.
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Inventors:
PRODAM RICCARDO (IT)
PARIS MARCELLO (IT)
BERINI MARCO (IT)
PARIS MARCELLO (IT)
BERINI MARCO (IT)
Application Number:
PCT/IT2013/000353
Publication Date:
September 24, 2015
Filing Date:
December 18, 2013
Export Citation:
Assignee:
UNICREDIT S P A (IT)
International Classes:
G06K9/00; G07F19/00; G06Q20/00; G06Q20/20; G06Q20/40
Foreign References:
| EP1752930A2 | 2007-02-14 |
Other References:
C LAKSHMI DEEPIKA ET AL: "An Algorithm for Improved Accuracy in Unimodal Biometric Systems through Fusion of Multiple Feature Sets", ICGST INTERNATIONAL JOURNAL ON GRAPHICS, VISION AND IMAGE PROCESSING, GVIP, 1 June 2009 (2009-06-01), pages 1 - 8, XP055084226, Retrieved from the Internet [retrieved on 20131016]
KEJUN WANG ET AL: "Hand Vein Recognition Based on Multi Supplemental Features of Multi-Classifier Fusion Decision", MECHATRONICS AND AUTOMATION, PROCEEDINGS OF THE 2006 IEEE INTERNATIONA L CONFERENCE ON, IEEE, PI, 1 June 2006 (2006-06-01), pages 1790 - 1795, XP031027051, ISBN: 978-1-4244-0465-0
AMIOY KUMAR ET AL: "Biometric Authentication Based on Infrared Thermal Hand Vein Patterns", DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS, 2009. DICTA '09, IEEE, PISCATAWAY, NJ, USA, 1 December 2009 (2009-12-01), pages 331 - 338, XP031613821, ISBN: 978-1-4244-5297-2
YINGBO ZHOU ET AL: "Human Identification Using Palm-Vein Images", IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, IEEE, PISCATAWAY, NJ, US, vol. 6, no. 4, 1 December 2011 (2011-12-01), pages 1259 - 1274, XP011371301, ISSN: 1556-6013, DOI: 10.1109/TIFS.2011.2158423
AJITA RATTANI ET AL: "Template Update Methods in Adaptive Biometric Systems: A Critical Review", 2 June 2009, ADVANCES IN BIOMETRICS, SPRINGER BERLIN HEIDELBERG, BERLIN, HEIDELBERG, PAGE(S) 847 - 856, ISBN: 978-3-642-01792-6, XP019118000
KEJUN WANG ET AL: "Hand Vein Recognition Based on Multi Supplemental Features of Multi-Classifier Fusion Decision", MECHATRONICS AND AUTOMATION, PROCEEDINGS OF THE 2006 IEEE INTERNATIONA L CONFERENCE ON, IEEE, PI, 1 June 2006 (2006-06-01), pages 1790 - 1795, XP031027051, ISBN: 978-1-4244-0465-0
AMIOY KUMAR ET AL: "Biometric Authentication Based on Infrared Thermal Hand Vein Patterns", DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS, 2009. DICTA '09, IEEE, PISCATAWAY, NJ, USA, 1 December 2009 (2009-12-01), pages 331 - 338, XP031613821, ISBN: 978-1-4244-5297-2
YINGBO ZHOU ET AL: "Human Identification Using Palm-Vein Images", IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, IEEE, PISCATAWAY, NJ, US, vol. 6, no. 4, 1 December 2011 (2011-12-01), pages 1259 - 1274, XP011371301, ISSN: 1556-6013, DOI: 10.1109/TIFS.2011.2158423
AJITA RATTANI ET AL: "Template Update Methods in Adaptive Biometric Systems: A Critical Review", 2 June 2009, ADVANCES IN BIOMETRICS, SPRINGER BERLIN HEIDELBERG, BERLIN, HEIDELBERG, PAGE(S) 847 - 856, ISBN: 978-3-642-01792-6, XP019118000
Attorney, Agent or Firm:
BRUNAZZI, Stefano et al. (Via Senato 8, Milano, IT)
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