FATEMEH ARBAB DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF CALGARY WINTER 2009 Ear Biometric

Out line Introduction Anatomy of Ear Innarelli system Burge and Burger PCA Hurley, Nixon and Carter Akkermans, Kenvenaar and Schobben Conclusion 2

Introduction Why Ear?  Stable structure  Predictable change with age  It’s fixed position  Collection hygiene issues  Unlikely to cause anxiety 3

Anatomy of Ear 4

Innarelli System Used for forensic in 1949, USA  Specified distances  Race  Sex 5

Burge and Burger Neighbor Graph Matching, 1998 Ear print Voronoi Diagram Neighbor Graph 6

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 7

Principle Component Analysis Basis elements in a Vector space 8

Principle Component Analysis Implementation Recognition rate of 98.4% on a data set of 252 ear images 9

Hurley, Nixon and Carter Force Field Transform,

Hurley, Nixon and Carter Force Field Transforms: Invertible transforms 11

Hurley, Nixon and Carter Sample  Promising results on small database 12

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 13

Conclusion Summary ApproachNeighbor Graph Matching PCAForce Field Transform Acoustic Ear Recognition Data Source2D Active Identification Data Sizen/a189n/a Recognition Rate n/a98.4%n/a 14

What else… Sample of 3D ear biometric  Iterative Closest Point 15

Major References [1]D. J. Hurley, B. Arbab-Zavar, M. S. Nixon, The Ear as a Biometric, Handbook of Biometrics, Springer, 2008, pp [2]M. Burge, W. Burger, Ear Biometrics, BIOMETRICS: Personal Identification in a networked Society, Klumer Academic, 1998, pp [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 [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 [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 [6] A. Okabe, B. Boots, K. Sugihara, Spatial Tessellations: concepts and applications of voronoi diagrams, John Wiley & Sons, 1992, chapter 3. 16

Thank You! 17