Evaluation of Voice & Ear Biometrics Authentication System

Abstract

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.

Design, Analysis, and Implementation of a Twofactor Authentication Scheme using Graphical Password

“…Various two-factor authentication methods using Smart cards, Cryptographic tokens, and Biometrics that are available today [34].Multi modal biometric authentication system also used for the justification of false rejection and false acceptance [36].There are two factor authentication schemes which were developed to overcome phishing attacks which proved to be an expensive to implement in real time applications [37].Other than Smart Card based schemes, most of the Biometric or Cryptographic Token-based schemes require a verifier table at the server to validate the user. This verifier table requirement may lead to a stolen verifier attack wherein the attacker, if gets the database access, may steal the verifier table and perform offline guessing to figure out the user's password.…”