Ear Biometric

FATEMEH ARBABDEPARTMENT OF COMPUTER SCIENCE

UNIVERSITY OF CALGARYFARBAB@UCALGARY.CA

WINTER 2009

Ear Biometric

2

Out line

IntroductionAnatomy of EarInnarelli systemBurge and BurgerPCAHurley, Nixon and CarterAkkermans, Kenvenaar and SchobbenConclusion

3

Introduction

Why Ear? Stable structure Predictable change with age It’s fixed position Collection hygiene issues Unlikely to cause anxiety

4

Anatomy of Ear

5

Innarelli System

Used for forensic in 1949, USA

Specified distances Race Sex

6

Burge and Burger

Neighbor Graph Matching, 1998

Ear print Voronoi Diagram Neighbor Graph

7

Burge and Burger

Improving FAR

Still is not practical! Ear description is unstable Detected edges were occluded parts rather than surface

discontinuities Occlusion with hair

Thermogram

8

Principle Component Analysis

Basis elements in a Vector space

9

Principle Component Analysis

Implementation

Recognition rate of 98.4% on a data set of 252 ear images

10

Hurley, Nixon and Carter

Force Field Transform, 2005

11

Hurley, Nixon and Carter

Force Field Transforms:

Invertible transforms

12

Hurley, Nixon and Carter

Sample

Promising results on small database

13

Akkermans, Kenvenaar and Schobben

Acoustic Ear Recognition, 2005

Correlation of emitted and reflected wave Applicable on headphones or modified mobile phones 31 and 17 samples, respectively

14

Conclusion

Summary

Approach Neighbor Graph Matching

PCA Force Field Transform

Acoustic Ear Recognition

Data Source

2D 2D 2D Active Identification

Data Size n/a 189 n/a n/a

Recognition Rate

n/a 98.4% n/a n/a

15

What else…

Sample of 3D ear biometric

Iterative Closest Point

16

Major References

[1] D. J. Hurley, B. Arbab-Zavar, M. S. Nixon, The Ear as a Biometric, Handbook of Biometrics, Springer, 2008, pp.131-150.

[2] M. Burge, W. Burger, Ear Biometrics, BIOMETRICS: Personal Identification in a networked Society, Klumer Academic, 1998, pp. 273-286.

[3] K. H. Pun, Y. S. Moon, Recent advances in Ear Biometrics, in the proceedings of Sixth IEEE International Conference on Automatic Face and Gesture Recognition, May 2004, pp. 164-169.

[4] D. J. Hurley, M. S. Nixon, J. N. Carter, Force field feature extraction for ear biometrics, Computer Vision and Image Understanding, Elsevier Science, 2005, pp. 491-512.

[5] A. H. M. Akkermans, T. A. M. Kenvenaar, D. W. E. Schobben, Acoustic Ear Recognition for person Identification, in the proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies, 2005, pp. 219-223.

[6] A. Okabe, B. Boots, K. Sugihara, Spatial Tessellations: concepts and applications of voronoi diagrams, John Wiley & Sons, 1992, chapter 3.

17

Thank You!