1. Thermal imaging of ear biometrics Steinar Watne

2. Outline – Introduction to biometrics – Ear as biometric – Research questions – Experiment – Pre-processing – Preliminary results – Conclusion Thermal imaging of ear biometrics

3. Introduction to biometrics – Authentication Airports ATM Buildings Computer systems – Claiming identity and providing proof Thermal imaging of ear biometrics

4. Introduction to biometrics cont. (Proofs) – Something you have Key Token Smart card – Something you know Password PIN code – Accepted or rejected Thermal imaging of ear biometrics

5. Introduction to biometrics cont. (Proofs) – Something you are Behavioral – Gait – Signature Physiological – Fingerprint – Iris – Ear – Never 100% match Thermal imaging of ear biometrics

6. Ear as biometric – Physiological Feature capture – Normal images – Thermal images – Ear prints for criminal records – Seven characteristics Thermal imaging of ear biometrics

7. Ear as biometric cont. (Characteristics) – Universality – Permanence – Collectability – Performance – Acceptability – Circumvention – Uniqueness Thermal imaging of ear biometrics

8. Research questions – What techniques do already exist for ear authentication? – How good are our results using thermal images compared to results using existing methods? Thermal imaging of ear biometrics

9. Research questions cont. – Is it possible to determine differences in peoples ears by looking at a thermal image? – Do environmental factors, e.g. temperature, affect our results in any way? Thermal imaging of ear biometrics

10. Research questions cont. (Motivation) – Burge et al. propose thermal images Difference in temperature Easy to mask hair away Thermal imaging of ear biometrics

11. Experiment (Main) – 75 participants 15 images – 3 sessions – Right ear – Temperature Thermal imaging of ear biometrics

12. Experiment (Main) cont. – Age 19-65 yrs. – Gender 11 female – Mean age: 27 yrs. – Std. dev. 9 64 male – Mean age: 28 yrs. – Std. dev. 9 Thermal imaging of ear biometrics

13. Experiment (Sub) – 5 Participants Cooled ears (10 minutes) 2 initial images Images taken each 15 seconds for 15 minutes (61 total) – How much time is needed before the ear is back to “normal”? Thermal imaging of ear biometrics

14. Pre-processing – SmartView Palette Scale selection – MatLab Axis Rotation Cropping/resizing Thermal imaging of ear biometrics

15. Pre-processing cont. – SmartView Palette Scale selection – MatLab Axis Rotation Cropping/resizing Thermal imaging of ear biometrics

16. Pre-processing cont. – SmartView Palette Scale selection – MatLab Axis Rotation Cropping/resizing Thermal imaging of ear biometrics

17. Pre-processing cont. – SmartView Palette Scale selection – MatLab Axis Rotation Cropping/resizing Thermal imaging of ear biometrics

18. Pre-processing cont. – SmartView Palette Scale selection – MatLab Axis Rotation Cropping/resizing Thermal imaging of ear biometrics

19. Pre-processing cont. – SmartView Palette Scale selection – MatLab Axis Rotation Cropping/resizing Thermal imaging of ear biometrics

20. Preliminary results – Commercial products Image Comparer ImageFinder Weka – Algorithmic approaches PCA Distance metrics Thermal imaging of ear biometrics

21. Preliminary results – Image Comparer Threshold at 70% Not complete scores What is going on behind the scenes? Thermal imaging of ear biometrics

22. Preliminary results – Image Comparer Thermal imaging of ear biometrics FAR Threshold FRR

23. Preliminary results – ImageFinder Different filters Difficult to tune What is going on behind the scenes? EER – 30% visual – 31% high contrast – 36% grayscale Thermal imaging of ear biometrics

24. Preliminary results – ImageFinder Thermal imaging of ear biometrics High contrastGray scaleVisual

25. Conclusion – Burge et al. does not seem to hold – Preliminary results Thermal imaging of ear biometrics

26. Questions?