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Research in Liveness Detection - Martin Drahanský

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Research in Liveness Detection

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Research in Liveness Detection - Martin Drahanský

  1. 1. Nadpis 1 Nadpis 2 Nadpis 3 Jméno Příjmení Vysoké učení technické v Brně, Fakulta informačních technologií v Brně Božetěchova 2, 612 66 Brno jmeno@fit.vutbr.cz 99.99.2008 Research in Liveness Detection Martin Drahanský Brno University of Technology, Faculty of Information Technology Božetěchova 2, 612 66 Brno, Czech Republic http://www.fit.vutbr.cz/~drahan drahan@fit.vutbr.cz April 11, 2015© Presentation with copyright (Security Session 2015)
  2. 2. Technologies of fingerprint sensors Research in Liveness Detection • Optical technology • Capacitive technology • Ultrasound technology • E-field technology • Electro-optical technology • Pressure sensitive technology • Thermal technology 2/29
  3. 3. Technologies of fingerprint sensors Research in Liveness Detection • Optical technology • Capacitive technology • Ultrasound technology • E-field technology • Electro-optical technology • Pressure sensitive technology • Thermal technology 2/29
  4. 4. Technologies of fingerprint sensors Research in Liveness Detection • Optical technology • Capacitive technology • Ultrasound technology • E-field technology • Electro-optical technology • Pressure sensitive technology • Thermal technology 2/29
  5. 5. How to produce a fake finger(print)? 1 2 3 4 5 6 7 8 9 10 11 12 P l a y v i d e o Research in Liveness Detection 5/29
  6. 6. Perspiration • Clarkson/Virginia universities • 600 sweat glands in 1 inch2 • Duration approx. 5 seconds • High intra-class variability Time Research in Liveness Detection 6/29
  7. 7. Spectroscopic characteristics Illumination Imaging Spectroscopic Spoof Detector Classical FTIR Principle • Lumidigm Ltd.(Albuquerque) • Clones: TST Biometrics GmbH, Sagem Morpho etc. Research in Liveness Detection 7/29
  8. 8. Ultrasonic technology • Ultra-Scan / Optel Sound wave pulse transmission Sound wave echos, captured to produce images: Echo #1 Echo #2 Echo #3 Desired image depth is selected by range gate Ridge structure Air gap or contamination Platen Research in Liveness Detection 8/29
  9. 9. Temperature + Hot & cold stimulus • Temperature • Hot and cold stimulus Research in Liveness Detection 9/29
  10. 10. Pressure stimulus • National utility model ÚPV-19364 • Ridge elasticity • 20% • Change of color (RGB) • G ~ 42 Research in Liveness Detection 10/29
  11. 11. Pulsation of pixels • Using RGB, each channel shown tiny pulsation • Could be used for mobile devices • Only transparent finger fakes could be used, all other do not work • Our patent ÚPV-304801 Research in Liveness Detection 11/29
  12. 12. Electrical properties • Bio-impedance • Resistance / Conductivity ohm 0 200 400 600 800 1000 kΩ L_Thumb L_Index L_Middle L_Ring L_Little R_Thumb R_Index R_Middle R_Ring R_Little Finger Measurement with DC low voltage Research in Liveness Detection 12/29
  13. 13. Pulse I. • Heart activity Research in Liveness Detection 13/29
  14. 14. Pulse II. • International patent WO/2007/036370 • National patent pending; new approach in preparation Common optical fingerprint scanner High resolution camera with macro-objective Laser distance measurement module Option 1 Option 2 Research in Liveness Detection 14/29
  15. 15. Pulse III. • Macroobjective I. Glass Finger (front view) Macro-objective CCD camera CCDcameraSemi-permeable mirror Research in Liveness Detection 15/29
  16. 16. Pulse IV. • Macroobjective II. -4 -2 0 2 4 6 8 10 12 14 1 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97 103 109 115 121 127 133 139 145 151 157 163 169 175 181 187 193 199 205 211 217 Image number Distancechange[pix.] Real heart beats: 76 / min 23 peaks in 15 sec correspond to 92 heart beats in 1 min Research in Liveness Detection 16/29
  17. 17. Pulse V. • Laser I. CCD camera Finger (front view) Glass Laser module Glass Research in Liveness Detection 17/29
  18. 18. Pulse VI. 1.9 subdiv 6subdiv 25 periodical runs in 20 seconds Research in Liveness Detection 18/29 75 heart beats in 1 min. (this method) 77 heart beats in 1 min. (tonometer)
  19. 19. Troubles during scanning process BergdataFCAT-100 Earth dust Veridicom5th Sense Metallic dust Fine sand Oiled finger BergdataFCAT-100 About -10°C Veridicom5th Sense About +50°C • Change of temperature and/or humidity • Dry or wet fingers • Dirt on sensor area • Dirt on fingertip surface • Blurred images • Change of pressure • Latent fingerprints etc. Research in Liveness Detection 19/29
  20. 20. Experiments with real fingers and fakes Research in Liveness Detection 20/29
  21. 21. Skin diseases I. • Histopathological changes • Changes of skin color • Histopathological and skin color changes Staphylococcal abscess Eczema Pyogenic granuloma Scleroderma HFM Endocarditis Tinea Hyperkeratosis Eczematous inflammation Irritant dermatitis Pompholyx Psoriasis Research in Liveness Detection 21/29
  22. 22. Skin diseases II. Project COST Research in Liveness Detection 22/29
  23. 23. Finger veins – Principle Veins Arteries Absorption Research in Liveness Detection 23/29
  24. 24. Finger veins – Our Pre-α-Prototype IR LEDs Black-Box with a small door IR-Filter Camera Sony (VGA, Low-Lux) Screwdriver Missing: Polarization-Filter Research in Liveness Detection 24/29
  25. 25. Finger veins – Acquired image Research in Liveness Detection 25/29
  26. 26. Finger veins – Image processing a) b) c) d) e) f) Research in Liveness Detection 26/29
  27. 27. Eye iris and eye retina – Basic principles • One device for acquirement of eye iris and eye retina → possible ways of use are for biometrics and ophthalmology Research in Liveness Detection 27/29
  28. 28. Anti-spoofing in 3D face recognition • We use printed and cut 3D face fakes Research in Liveness Detection 28/29
  29. 29. Anti-spoofing in thermo-face recognition FLIR ThermaCAM E300 Optris PI200 http://astro.swarthmore.edu/ir/ir_basics.html Research in Liveness Detection 29/29
  30. 30. Skalský dvůr 2009 30 Thank you for your attention.

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