FATEMEH ARBABDEPARTMENT OF COMPUTER SCIENCE

UNIVERSITY OF CALGARYFARBAB@UCALGARY.CA

WINTER 2009

Ear Biometric

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Out line

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

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Introduction

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

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Anatomy of Ear

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Innarelli System

Used for forensic in 1949, USA

Specified distances Race Sex

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Burge and Burger

Neighbor Graph Matching, 1998

Ear print Voronoi Diagram Neighbor Graph

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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

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Principle Component Analysis

Basis elements in a Vector space

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Principle Component Analysis

Implementation

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

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Hurley, Nixon and Carter

Force Field Transform, 2005

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Hurley, Nixon and Carter

Force Field Transforms:

Invertible transforms

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Hurley, Nixon and Carter

Sample

Promising results on small database

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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

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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

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What else…

Sample of 3D ear biometric

Iterative Closest Point

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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.

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Thank You!