Biometrics for Mobile or Smart Card Environment · 2013. 12. 8. · Mobile Phones using Biometric Gait Recognition", in Proceedings of the IEEE 6th International Conference on Intelligent

Property of the Smart Card Alliance © 2013

Biometrics for Mobile or Smart Card

Environment

2013 Member Meeting Miami, FL

Christophe Goyet Oberthur Technologies



2

Biometrics used in PIV

Ø  Printed on the card Ø  Color Photograph – Zone 16F (Mandatory) Ø  Signature panel – Zone 3F (Optional)

Ø  Stored in the chip and retrievable for Off-Card Comparison Ø  Cardholder Facial Image - DO '5FC108‘ (Mandatory) Ø  Cardholder Fingerprints - DO '5FC103‘ (Mandatory) Ø  Cardholder Iris Images - DO '5FC121‘(Optional)

Ø  Stored in the chip and retrievable for On-Card Comparison Ø  Cardholder Fingerprints for OCC (Optional)

Face Iris Fingerprint Handwriting



3

Biometrics Testing by NIST

Ø  Minutiae Interoperability Exchange Test (MINEX) Ø  More information on http://www.nist.gov/itl/iad/ig/minex.cfm

Ø  Ongoing MINEX §  Provide measurements of performance and interoperability of core

template encoding and matching capabilities §  More information on http://www.nist.gov/itl/iad/ig/ominex.cfm

Ø  MINEXII §  Part of the MINEX program dedicated to the evaluation and

development of the capabilities of fingerprint minutia matchers running on ISO/IEC 7816 smart cards.

§  Latest report NIST Interagency Report 7477, Revision II, details results for 17 MOC implementations.



4

Biometrics Testing by NIST

Ø  NIST’s umbrella program for iris recognition performance, standards, and image-based interoperability

Ø  Coming soon: IREX VIII §  Support implementation of the iris recognition option extended under

NIST Special Publication 800-76-2 Ø  More information on http://www.nist.gov/itl/iad/ig/irex.cfm

Ø  Independent government evaluations of commercially available

and prototype face recognition technologies. Ø  More information on http://www.nist.gov/itl/iad/ig/frvt-home.cfm



5

Biometric On-Card-Comparisons

Ø  Fingerprint Match-On-Card §  First demonstrated at Cartes in 1999 §  Tested by NIST for PIV since 2007 (SBMOC) §  Included into FIPS 201-2 (2013) §  Template based ≈ 250 bytes / finger) §  Fully standardized §  Available on most PIV cards deployed today

Ø  Iris §  Image based ≈ 2KB / Iris (ISO/IEC 19794-6:2011 -KIND7) §  On-Card-Comparison Available on Smart Cards

Ø  Facial §  on-card recognition still requires more processing power

than capabilities of today’s smart cards



6

Biometrics For Mobile Environment

Ø  Fingerprint Recognition Ø  Using Standard Camera Sensor for fingerprint capture

Ø  Good Performance: EER 3% Ø  Better Presentation Attack Detection than capacitive sensors Ø  Attack detection, as light reflection differs from artefacts

to genuine fingers Ø  Demonstration performed by the Biometrics and Internet Security Research Group da/

sec in Darmstadt, Germany



7

Biometrics For Mobile Environment

Ø  Gait Recognition Ø  Unobtrusive authentication method Ø  Use Accelerometers already embedded in mobile devices to record the gait

§  Many phones contain accelerometers §  No extra hardware is necessary §  Acceleration measured in 3 directions

Ø  Demonstration performed by the Biometrics and Internet Security Research Group da/sec in Darmstadt, Germany



8

Acknowledgment and further reading

Ø  With kind authorization from Prof. Dr. Christoph Busch from the biometrics and internet security research group da/sec

Ø  http://www.dasec.h-da.de/

Ø  For fingerprint: Ø  C. Stein, V. Bouatou, C. Busch: "Video-based Fingerphoto Recognition with Anti-

spoofing Techniques with Smartphone Cameras", in Proceedings of the IEEE 12th International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, September 5-6, (2013)

Ø  http://www.christoph-busch.de/files/Stein-VideoFingerphoto-BIOSIG-2013.pdf

Ø  For Gait: Ø  M. Derawi. C. Nickel, P. Bours and C. Busch: "Unobtrusive User-Authentication on

Mobile Phones using Biometric Gait Recognition", in Proceedings of the IEEE 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), Darmstadt, Germany, October 15-17, (2010)

Ø  http://www.christoph-busch.de/files/Derawi-GaitRecognitionSmartphone-IIHMSP-2010-web.pdf

available at:


Christophe Goyet Oberthur Technologies [email protected] Tel: (703) 561-6468 www.oberthur.com

Speaker Contact Information

Documents

Biometrics for Mobile or Smart Card Environment · 2013. 12. 8. · Mobile Phones using Biometric Gait Recognition", in Proceedings of the IEEE 6th International Conference on Intelligent