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Ear Biometrics

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Encyclopedia of Biometrics

Definition

The term ear biometrics refers to automatic human identification on the basis of the ear physiological (anatomical) features. The identification is performed on the basis of the features which are usually calculated from captured 2D or 3D ear images (using pattern recognition and image processing techniques). The ear features that can be used in the process of identification are, for example, geometrical ear structure, characteristic ear points, global ear image features, local ear image features, and 3D models. The advantages of human ear as biometric as well as the overview of various approaches to ear biometrics are presented in the ear biometrics overview entry.

Introduction

As pointed out by Hurley et al., ear biometrics is no longer in its infancy and has shown encouraging progress [1]. It is due to the fact that the ear is the very interesting human anatomical part for passivephysiological biometric systems. It means that the subject does not have to take active...

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References

  1. D.J. Hurley, B. Arab-Zavar, M.S. Nixon, The ear as a biometric, in Proceedings of Eusipco’07, Poznan, 2007, pp. 25–29

    Google Scholar 

  2. J. Kasprzak, Forensic Otoscopy (in Polish) (University of Warmia and Mazury Press, Olsztyn, 2003)

    Google Scholar 

  3. A. Iannarelli, Ear Identification. Forensic Identification Series (Paramont Publishing Company, Fremont, 1989)

    Google Scholar 

  4. M. Burge, W. Burger, Ear biometrics, in Biometrics: Personal Identification in Networked Society, ed. by A.K. Jain, R. Bolle, S. Pankanti (Kluwer, Dordecht, 1998), pp. 273–286

    Google Scholar 

  5. M. Choraś, Perspective methods human identification: ear biometrics. Opto-Electron. Rev. 16(1), 49–60 (2008)

    Google Scholar 

  6. W. Yuan, Y. Tian, Ear contour detection based on edge tracking, in Proceedings of Intelligent Control and Automation, Dalian (IEEE, 2006), pp. 10450–10453

    Google Scholar 

  7. F.N. Sibai, A. Nuaimi, A. Maamari, R. Kuwair, Ear recognition with feed-forward artificial neural networks. Neural Computing and Applications, 23(5), pp. 1265–1273 (2013). Springer, 2013

    Google Scholar 

  8. B. Arab-Zavar, M.S. Nixon, D.J. Hurley, On model-based analysis of ear biometrics, in Proceedings of IEEE Conference on Biometrics: Theory, Applications and Systems – BTAS’07, Washington, DC, 2007

    Google Scholar 

  9. J. Zhou, S. Cadavid, M. Abdel-Mottaleb, Exploiting color SIFT features for 2D ear recognition, in Proceedings of International Conference on Image Processing, Brussels (IEEE, 2011), pp. 553–556

    Google Scholar 

  10. D. Kisku, H. Mehrotra, P. Gupta, J.K. Sing, SIFT-based ear recognition by fusion of detected keypoints from color similarity slice regions, in Proceedings of IEEE ACTEA, Lebanon, 2009, pp. 380–385

    Google Scholar 

  11. G.S. Badrinath, P. Gupta, Feature level fused ear biometric system, in Proceedings of Advances in Pattern Recognition, Kolkata (IEEE, 2009), pp. 197–200

    Google Scholar 

  12. B. Victor, K.W. Bowyer, S. Sarkar, An evaluation of face and ear biometrics, in Proceedings of International Conference on Pattern Recognition, Quebec City, 2002, pp. 429–432

    Google Scholar 

  13. D.J. Hurley, M.S. Nixon, J.N. Carter, Force field energy functionals for ear biometrics. Comput. Vis. Image Underst. 98(3), 491–512 (2005)

    Google Scholar 

  14. A.H. Cummings, M.S. Nixon, J.N. Carter, The image ray transform for structural feature detection. Pattern Recognit. Lett. 32, 2053–2060 (2011)

    Google Scholar 

  15. B. Moreno, A. Sanchez, J.F. Velez, On the use of outer ear images for personal identification in security applications, in Proceedings of IEEE Conference on Security Technologies, Madrid, 1999, pp. 469–476

    Google Scholar 

  16. A. Sana, P. Gupta, R. Purkai, Ear biometrics: a new approach, in Advances in Pattern Recognition, Kolkata, ed. by P. Pal (World Scientific Publishing, 2007), pp. 46–50

    Google Scholar 

  17. L. Lu, X. Zhang, Y. Zhao, Y. Jia, Ear recognition based on statistical shape model, in Proceedings of International Conference on Innovative Computing, Information and Control, Beijing, vol. 3 (IEEE, 2006), pp. 353–356

    Google Scholar 

  18. L. Yuan, Z. Mu, Ear recognition based on 2D images, in Proceedings of IEEE Conference on Biometrics: Theory, Applications and Systems – BTAS’07, Washington, DC, 2007

    Google Scholar 

  19. L. Yuan, Z. Mu, Ear recognition based on local information fusion. Pattern Recognit. Lett. 33, 182–190 (2012)

    Google Scholar 

  20. Z. Huang, Y. Liu, Ch. Li, M. Yang, L. Chen, A robust face and ear based multimodal biometric system using sparse representation. Pattern Recognit. 46, 2156–2168 (2013)

    Google Scholar 

  21. A. Kumar, T.-S.T. Chan, Robust ear identification using sparse representation of local texture descriptors. Pattern Recognit. 46, 73–85 (2013)

    Google Scholar 

  22. H. Xu, The research of ear recognition based on Gabor wavelets and support vector machine classification. Information Technology Journal, 11, 1626–1631 (2012)

    Google Scholar 

  23. B. Arab-Zavar, M. Nixon, On guided model-based analysis of ear biometrics. Comput. Vis. Image Underst. 115, 487–502 (2011)

    Google Scholar 

  24. H. Liu, Force field convergence map and log-Gabor filter based multi-view ear feature extraction. Neurocomputing 76, 2–8 (2012)

    Google Scholar 

  25. M. Choraś, Ear biometrics based on geometrical method of feature extraction, in Articulated Motion and Deformable Objects, ed. by F. J. Perales, B. A. Draper. LNCS 3179 (Springer, Berlin, 2004), pp. 51–61

    Google Scholar 

  26. A.P. Yazdanpanah, K. Faez, Gabor-based RCM features for ear recognition, in State of the Art in Biometrics, ed. by J. Yang (Intech, 2011), pp. 221–234

    Google Scholar 

  27. L. Nanni, A. Lumini, Fusion of color spaces for ear authentication. Pattern Recognit. 42, 1906–1913 (2009)

    MATH  Google Scholar 

  28. T.-S. Chan, A. Kumar, Reliable ear identification using 2-D quadrature filters. Pattern Recognit. Lett. 33, 1870–1881 (2012)

    Google Scholar 

  29. H. Chen, B. Bhanu, Human ear recognition in 3D. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 718–737 (2007)

    Google Scholar 

  30. P. Yan, K.W. Bowyer, Multi-biometrics 2D and 3D ear recognition, in Proceedings of Audio- and Video-Based Biometric Person Authentication, Hilton Rye Town, 2005, pp. 503–512

    Google Scholar 

  31. S. Cadavid, M. Abdel-Mottaleb, Human identification based on 3D ear models, in Proceedings of IEEE Conference on Biometrics: Theory, Applications and Systems – BTAS’07, Washington, DC, 2007

    Google Scholar 

  32. J. Zhou, S. Cadavid, M. Abdel-Mottaleb, An efficient 3-D ear recognition system employing local and holistic features. IEEE Trans. Inf. Forensics Secur. 7(3), 978–991 (2012)

    Google Scholar 

  33. A. Ross, K. Nandakumar, A.K. Jain, Handbook of Multibiometrics. International Series on Biometrics (Springer, Berlin, 2006)

    Google Scholar 

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Choras, M. (2015). Ear Biometrics. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_173

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