Safiia Mohammed

Work place: Institute of Technology Blanchardstown, Khartoum, Sudan

E-mail: Safiia.mohammed@yandex.com

Website:

Research Interests: Bioinformatics

Biography

Safiia Mohammed is a master graduate student, She has got her B.Sc (honors) in Computer Sciences from University of Khartoum - faculty of mathematical science in 2012 and M.Sc in information security and digital forensics from ITB, Dublin, Ireland in 2016. She has a big interest in Biometrics field and this will be a field of her postgraduate researches in the future.

Author Articles
Evaluation of Voice & Ear Biometrics Authentication System

By Safiia Mohammed Michael Hegarty

DOI: https://doi.org/10.5815/ijeme.2017.04.04, Pub. Date: 8 Jul. 2017

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.

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