A Multimodal Approach to Improve the Performa...

A Multimodal Approach to Improve the Performance of Biometric System

Author Name : Preeti Kumari, Er. Pooja Ahlawat

ABSTRACT: Biometric systems automatically recognize an individual based on physiological and behavioural characteristics. There are also some traits like weight, age, height etc. that may not provide reliable user recognition because of its common and temporary nature. These traits are called soft biometric traits. Although soft biometric traits are lack of permanence to uniquely and reliably identify an individual, yet they provide some beneficial evidence about the user identity and may improve the system performance. Here in this paper, we have proposed an approach for integrating the soft biometrics with fingerprint and face to improve the performance of personal authentication system. In our approach, we have proposed a combined architecture of three different sensors to elevate the system performance. The approach includes, soft biometrics, fingerprint and face traits. We have also proven the efficiency of proposed system regarding FAR (False Acceptance Ratio) and total response time, with the help of MUBI (Multimodal Biometrics Integration) software.