Multimodal biometric authentication using teeth image and voice in mobile environment

Mobile devices such as smart-phone, PDA and mobile-phone are vulnerable to theft and loss due to their small size and the characteristics of the environments in which they are used. A simple and convenient authentication system is required to protect private information stored in the mobile device. Therefore, we propose a new multimodal biometric authentication approach using teeth image and voice as biometric traits in this paper. The individual matching scores obtained from the teeth image and voice are combined using a weighted-summation operation, and the fused-score is utilized to classify an unknown user into the acceptance or rejection. The proposed method is evaluated using 1000 teeth images and voices, in which these are collected by smart-phone, i.e., one mobile device for 50 subjects. In the experiment results, the proposed method has an EER of 2.13%, and we demonstrate the effectiveness of the proposed method.