International Journal of Education and Management Engineering(IJEME)

ISSN: 2305-3623 (Print), ISSN: 2305-8463 (Online)

Published By: MECS Press

IJEME Vol.7, No.4, Jul. 2017

Evaluation of Voice & Ear Biometrics Authentication System

Full Text (PDF, 317KB), PP.29-40

Views:116   Downloads:6


Safiia Mohammed, Michael Hegarty

Index Terms

Multimodal Biometric System;Ear Biometric;Voice Biometric;Biometric Authentication


The core aim of biometrics authentication methods and technologies is to solve issues and concerns existing in traditional authentication methods like passwords, PIN numbers or identity cards. The Most important concern for business sectors and organizations is to authenticate individuals who interact with them and their services. By considering more than one biometric technology, the authentication process is expected to be more reliable and secure. The Ear and Voice Multimodal Biometrics System is evaluated to compare its performance with ear and voice unimodal systems; the multimodal system takes advantages of the permanence characteristic of ear biometric and voice biometric which is highly acceptable by users. According to the experiment, the ear and voice multimodal system provides better performance than the ear or voice unimodal system. In addition to that, the multimodal system makes a right balance between false rejection and false acceptance rates. This evaluation is intended to contribute to multimodal biometrics research by using behavioral biometric (voice print) and physiological biometric (ear-print) and makes advantage of using both of them in one system.

Cite This Paper

Safiia Mohammed, Michael Hegarty,"Evaluation of Voice & Ear Biometrics Authentication System", International Journal of Education and Management Engineering(IJEME), Vol.7, No.4, pp.29-40, 2017.DOI: 10.5815/ijeme.2017.04.04


[1]Prabhakar, S., Pankanti, S. & Jain, A.K. 2003, "Biometric recognition: security and privacy concerns", IEEE Security & Privacy Magazine, vol. 99, no. 2, pp. 33-42.

[2]Monwar, M.M. & Gavrilova, M.L. 2009, "Multimodal Biometric System Using Rank-Level Fusion Approach", IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 39, no. 4, pp. 867-878.

[3]G. Amirthalingam, and G. Radhamani, "A Multimodal Approach for Face and Ear Biometric System," IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 5, No 2, September 2013.

[4]G. Amirthalingam, and G. Radhamani "Multimodal Biometric Cryptosystem for Face and Ear Recognition Based on Fuzzy Vault" Research Journal of Applied Sciences, Engineering, and Technology, November 2013.

[5]Authentify, "Voice Biometric Authentication" available at: < > [accessed: 2, 8, 2016].

[6]Ramadan Gad, Nawal El-Fishawy, Ayman El-Sayed, and M. Zorkany," Multi-Biometric Systems: A State of the Art Survey and Research Directions". International Journal of Advanced Computer Science and Applications Vol. 6, No. 6, 2015.

[7]Neuro Technology, "Neuro Technology Biometric SDK (6.0 trial version)" available at: < [accessed: 4, 8, 2016]>

[8]Emgu CV official page: <> [accessed: 4, 8, 2016] sampleswap. web site, "VOCALS and SPOKEN WORD", available at <>[accessed: 3, 8, 2016]

[9]Gonzalez, E., Alvarez, L. and Mazorra, L., AMI Ear Database, available at: < > [accessed: 4, 8, 2016].