A New Multimodal Biometric Identification Approach

Several authors [1] [2] [3] [4] [5] have shown that multimodality was a highly efficient solution for biometric identification and allows to increase performance and reliability. Indeed, the acquisition of multiple biometric features makes it much more difficult for an impostor to spoof the system with artificially developed samples. However, we do not get these benefits for free: multimodal biometric systems are less profitable and have significant effects on their users. Some of them may indeed lead a non acceptance by their users, in particular when it comes to privacy issues that may result when acquiring data at multiple levels. That is why it is always important to explore the possibility of finding new systems that could be accepted by users and which are fully reliable than the previous ones. In this paper we present a new approach for speaker biometric identification. This approach is a user friendly platform which adds a new modality, namely a virtual character, which will be easily accepted by users. The virtual character [6] will first put the users in a comfortable position and simultaneously acquire the information necessary for their identification. Then, it will guide them step by step until the end of the process of identification. The users are put in the best conditions which will facilitate their participation and acceptance to be identified.