A Survey on Ear Biometrics Revolution  
  Authors : Babli Singh; Avadhesh Kumar; Pradeep Tomar


Biometric occupies a vital place in security methods it is one of the most essential security aspects in the modern world. Using ear as a biometric feature is in use for several years. Much research work has been done on this. Ear is an important part of the human body which remains intact for a certain age limit. It consist of large amount of unique features. Since not much changes are observed in the ear, its rich stable structure makes it, very promising to use for identification and authentication. In this paper, a short survey is done about biometrics, why ear is used as a biometric feature and lastly all the different techniques of ear identification is listed.


Published In : IJCAT Journal Volume 1, Issue 7

Date of Publication : 31 August 2014

Pages : 333 - 338

Figures :03

Tables : --

Publication Link : A Survey on Ear Biometrics Revolution




Babli Singh : PG Scholar, Computer Science and Engineering Galgotias University, Greater Noida, U.P, India

Avadhesh Kumar : Professor, Computing Science & Engineering & Dean Planning Galgotias University, Greater Noida U.P, India

Pradeep Tomar : Professor, Computing Science & Engineering & Dean Planning Galgotias University, Greater Noida U.P, India













First of all this paper explains the biometrics, its different types and the benefit of using ear as a biometric feature. It also summarizes the different techniques that can be used for ear recognition. However more research is needed to examine the validity of uniqueness that has been claimed in the past. Ear recognition technique has huge benefit, but it is yet to be realized, but in future it will give huge output. Lastly, to enhance the security ear can be clubbed with other biometric modality like face, iris etc.










[1] Anika Pug & Christoph Busch, “Ear Biometrics: A Survey of Detection, Feature Extraction and Recognition Methods”, July 2, 2012

[2] A. Iannarelli, “Ear identification, forensic identification series”, Paramount Publishing Company, 1989

[3] Choras, M., 2005. Ear Biometrics Based on Geometrical Feature Extraction. Electronic Letters on Computer Vision and Image Analysis, 5(3): 84-95.

[4] Choras, M., 2007. Emerging Methods of Biometrics Human Identification. Proceedings of the Second International Conference on Innovative Computing, Information and Control, pp: 365.

[5] Hurley, D.J., Nixon, M. S., Carter, J.N.Automated Ear Recognition by Force Field Transformations in Proceedings IEE Colloquium: Visual Biometris (00/018), 2000a, pp. 8/1-8/5

[6] H. Zhang, Z. Mu, W. Qu, L. Liu, and C. Zhang, “A novel approach for ear recognition based on ICA and RBF network,” in Proc. the Fourth International Conference on Machine Learning and Cybernetics, pp. 4511-4515, 2005

[7] Kisku, D.R., P. Gupta Feature Level Fusion of Biometrics Cues: Human Identification, J.K. Sing, 2009. with Doddington’s Caricature, pp: 157-164. In Slezak et al. Communications in Computer and Information Science. Springer: Warsaw.

[8] Khamiss Masaoud, S. Algabary, Khairuddin Omar, Md. Jan Nordin, Siti Norul Huda Sheikh Abdullah A Review Paper on Ear Recognition Techniques: Models, Algorithms and Methods, Australian Journal of Basic and Applied Sciences, 7(1): 411-421, 2013 ISSN 1991- 8178

[9] Middendorff, C., K.W. Bowyer, P. Yan, 2007. Multi- Modal Biometrics Involving the Human Ear, pp: 177- 190.

[10] P. Yan and K. W. Bowyer, “ICP-based approaches for 3D ear recognition,” in Biometric Technology for Human Identification II, vol. 5779, pp. 282–291, 2005.

[11] Rahim, M.S.M., A. Rehman, N. Sholihah, F. Kurniawan, T. Saba, 2012. Region-based features extraction in ear biometrics. International Journal of Academic Research, 4(1): 37-42.

[12] Zhou, Z, & Huang, T.S. Multimodal Surveillance: Sensors, Algorithms and Systems. Artech House:London.

[13] M. Burge, and W. Burger, “Ear Biometrics in Computer Vision,” 15th International Conference of Pattern Recognition (ICPR), 2000, pp.826–830.

[14] NSTC Glossary.