Presentation is loading. Please wait.

Presentation is loading. Please wait.

BIOMETRICS IN ABC: COUNTER-SPOOFING RESEARCH Hong Wei, Lulu Chen and James Ferryman Computational Vision Group School of Systems Engineering University.

Similar presentations


Presentation on theme: "BIOMETRICS IN ABC: COUNTER-SPOOFING RESEARCH Hong Wei, Lulu Chen and James Ferryman Computational Vision Group School of Systems Engineering University."— Presentation transcript:

1 BIOMETRICS IN ABC: COUNTER-SPOOFING RESEARCH Hong Wei, Lulu Chen and James Ferryman Computational Vision Group School of Systems Engineering University of Reading, UK 11th October 2013 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 1

2 Outline of the presentation Introduction Research on counter spoofing attacks –for face –for fingerprint –for iris Challenges and future research FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 2

3 Introduction ABC requires: fast, secure identity verification. EU FastPass project (www.fastpass-project.eu): harmonised, modular reference system for future European ABC.www.fastpass-project.eu Biometrics: face, fingerprint and iris – important for ABC. Potential vulnerability: sensor-level attacks – “spoofing”. Counter-spoofing measure: crucial for FastPass. FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 3 Heavy traffic and pressure at current border control – how to ease these? FastPass

4 Face 4 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

5 Face counter spoofing approaches Three categories in developing face anti- spoofing algorithms −Motion analysis: make use of significant difference between motions of planar objects and real face (3D) in optical flow fields. −Texture analysis: extract image texture features which reflects difference between real face and printed or replayed faces. −Liveness detection: detection of life signs such as eye blinking, lip movement, etc. FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 5

6 Relevant competitions Competitions on counter measures to 2D facial spoofing attacks First with IJCB 2011: 6 teams [Chakka, et al 2011]. Second with ICB 2013: 8 teams [Chingovska, et al 2013] Participants: academic teams Replay-Attack face spoofing database: Printed photographs Photographs on a mobile device (iPhone / iPad) Videos replayed on a mobile device FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 6

7 Summary of the 2013 competition FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 7 Team12345678 Texture based YesNoYes Motion based YesNoYes No Liveness based NoYesNo Fusion FeatureScore Feature ScoreNo Methods used in algorithms development Database: Replay-Attack Face Spoofing Database Teams 1&4 achieved 100% accuracy in both development and test. All 8 teams developed highly sophisticated methods, and some introduced methods beyond the three categories, such as human pulse.

8 Open issues and challenges Facial features: Change over time Similarity between family members: e.g. twins, father and son. Capture: Moving subject Efficient sensor-level fusion (VR+NIR, stereo vision) 2D face only: 3D attacks should be added, e.g. 3D face masks. 8 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

9 Fingerprint 9 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

10 Fingerprint sensing technologies  Optical sensors  Relatively big in size  In border control, biometric enrolment  Solid state fingerprint sensors  Different types, most common: capacitive  Can be compact  Sensitive to electrostatic discharges  Multiple spectral imaging sensor  3D scanner  Can be touchless 10 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

11 Fingerprint counter-spoofing methods  Solutions: Hardware and Software based  Hardware:  Pulse oximetry, smell, temperature, blood pressure, heart beat etc.  Requires additional hardware  Software:  Perspiration pattern  Skin distortion  Pores  Image quality measure 11 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

12 Software based 12 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland Perspiration patterns Skin distortion Real Fake Pore distribution Image quality measure

13 Fingerprint counter-spoofing competitions  LivDet: Fingerprint Liveness Detection Competition  Since 2009, every two years  Software based methods  Multiple sensors: Optical and swipe  Various reproduction materials: Gelatin Silicon Play-doh Latex 13 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

14 Fingerprint LivDet 14 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland ParticipantsSubmissionsBest results (avg. across datasets) LivDet 200944Dermalog: Ferrfake: 5.4% Anonymous 2: Ferrlive: 20.1% LivDet 20113Part I: algorithms 3Federico: 26.60% Ferrfake Dermalog: 17.60% Ferrlive 2Part II: system 2Dermalog: 0.8% Ferrfake Greenbi: 38.8% Ferrlive LivDet 20139Part I: algorithms 11Dermalog: 1.10% Ferrfake Federico: 11.96% Ferrlive Part II: system 2Morpho: 0.0% Ferrfake Morpho: 1.4% Ferrlive Ferrfake: a false acceptance of a spoof image. Ferrlive: a false rejection of a live subject.

15 Open issues and challenges Various spoofing materials Recent approaches: Handles certain types well Poor performance on other materials New methods should: Detect and handle all types of spoofing materials Combine successful algorithms Enable more balanced ferrfake and ferrlive rates Touchless fingerprint scan 15 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

16 Iris 16 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

17 Iris counter-spoofing approaches Spectrographics based: optical properties Purkinje reflection Retina light reflection: ‘Red eye’ effect Image quality measure Behaviour based: dynamic properties Eye hippus Pupil and iris constriction and dilation Eyelid blinking Other: 3D structure 17 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

18 Iris counter spoofing competitions LivDet-Iris: First Liveness Detection-Iris Competition 2013 Held by IEEE BTAS Conference (September 29 – October 2, 2013) 18 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

19 Open issues and challenges FastPass: Data capturing: involves additional noise Small target Long-distance On-the move Illumination, focus Research: Data collection: lack of data for training Lack of standardisation on spoofing experimental datasets 19 FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland

20 Challenges Current biometric systems: –Have counter-spoofing mechanism integrated. –However, research show vulnerability from spoofing attacks (e.g. TABULA RASA Spoofing Challenge 2013). Arms race: between spoofing and counter-spoofing. –Spoofing using new technologies, e.g. Hand-held mobile devices. Increased throughput and intuitive user-friendly devices. Lack of training data. Data interchange format. E-Passport storage capacity. FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 20

21 Future of counter spoofing Multimodal: –Increase difficulty to spoof multiple traits. –Not every person has all biometric features. Multi-sensor system: –Visible range and Near IR –2D and 3D Combined approaches: –Handle different types of materials. Tackle continuously updated and practised spoofing attacks. Increase difficulty for replication process. FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 21

22 Future research Explore and develop new algorithms on counter spoofing measures and attacks in ABC applications. Assemble ABC-specific databases with more realistic spoofing attacks. Create a framework for counter spoofing measures. Analyse data fusion effects at a quantitative level: –At the feature level for a single trait; –At the decision (score) level for multiple traits; –Combination of feature fusion and trait fusion; –Adaptive fusion schemes taking additional information (quality, thresholds) into account. FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 22

23 Summary ABC demands harmonized capturing devices adopting international standards –non intrusive and enable remote biometric capture –faster, more secure, efficient, seamless –robust counter spoofing detection Subject to appropriate legal and ethical controls FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 23

24 Thank you. & Questions FRONTEX - 2nd Global Conference and Exhibition on Future Developments of Automated Border Control (ABC) 10/11 October 2013, Warsaw, Poland 24 www.fastpass-project.eu


Download ppt "BIOMETRICS IN ABC: COUNTER-SPOOFING RESEARCH Hong Wei, Lulu Chen and James Ferryman Computational Vision Group School of Systems Engineering University."

Similar presentations


Ads by Google