Ear Biometrics in Passive Human Identification Systems

Michał Choraś

2006

Abstract

The article discusses various issues concerning ear biometrics in human identification systems. The major advantage of ear as the source of data for human identification, is the ease of image acquisition, which can be performed even without examined person’s knowledge. Moreover, user’s acceptability and easy interaction with the system make ear biometrics a perfect solution for secure authentication e.g. in access-control applications. In the article the focus is on the ear biometrics motivation, ear identification system design and interaction with the user. Feature extraction methods from ear images are also discussed.

References

  1. A. Iannarelli, Ear Identification, Forensic Identification Series, Paramont Publishing Company, 1989.
  2. M. Burge, W. Burger Ear Biometrics, in: Biometrics: Personal Identification in Networked Society (Eds: A.K. Jain, R. Bolle, S. Pankanti, 273-286, 1998.
  3. D.J. Hurley , M.S. Nixon, J.N. Carter, ”Force Field Energy Functionals for Image Feature Extraction,” Image and Vision Computing Journal, vol. 20, no. 5-6, pp. 311-318, 2002.
  4. K. Chang, B. Victor B., K.W. Bowyer, S. Sarkar, ”Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics,” IEEE Trans. on PAMI, vol. 25, no. 8, pp. 1160-1165, 2003.
  5. B. Moreno, A. Sanchez, J.F. Velez, ”On the Use of Outer Ear Images for Personal Identification in Security Applications,” Proc. of IEEE Conf. On Security Technology, pp. 469-476, 1999.
  6. H. Chen, B. Bhanu, ”Contour matching for 3D ear recognition,” Proc. of Workshop on Applications of Computer Vision (WACV), 123-128, 2005.
  7. P. Yan, K. W. Bowyer, ”ICP-based approaches for 3D ear recognition,” Proc. of SPIE Biometric Technology for Human Identification, 282291, 2005.
  8. J. Kasprzak, Forensic Otoscopy (in Polish), UWM Olsztyn, 2003.
  9. M. Choras, ”Ear Biometrics Based on Geometrical Method of Feature Extraction”, in: F.J Perales and B.A. Draper (Eds.): Articulated Motion and Deformable Objects, LNCS 3179, Springer-Verlag, pp. 51-61, 2004.
  10. M. Choras, ”Ear Biometrics Based on Geometrical Feature Extraction,” Journal ELCVIA, vol. 5, no. 3, pp. 84-95, 2005.
  11. M. Choras, ”Human Identification Based on Ear Image Analysis” (in Polish), Ph.D. Thesis, ATR Bydgoszcz, 2005.
  12. D. Maio, D. Maltoni, ”Minutiae Extraction and Filtering from Gray-Scale Images,” in: L.C. Jain et al. (Eds): Intelligent Biometric Techniques in Fingerprint and Face Recognition, CRC Press, pp. 1-34, 1999.
  13. A. KapczyÁski, ”The Valuation of Biometrics Methods in the Process of User Authentication (in Polish),” Studia Informatica, vol. 22, no. 1(43), 2001.
Download


Paper Citation


in Harvard Style

Choraś M. (2006). Ear Biometrics in Passive Human Identification Systems . In 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006) ISBN 978-972-8865-55-9, pages 169-174. DOI: 10.5220/0002474901690174


in Bibtex Style

@conference{pris06,
author={Michał Choraś},
title={Ear Biometrics in Passive Human Identification Systems},
booktitle={6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)},
year={2006},
pages={169-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002474901690174},
isbn={978-972-8865-55-9},
}


in EndNote Style

TY - CONF
JO - 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)
TI - Ear Biometrics in Passive Human Identification Systems
SN - 978-972-8865-55-9
AU - Choraś M.
PY - 2006
SP - 169
EP - 174
DO - 10.5220/0002474901690174