Biometric systems automatically recognize an individual based on his/her physiological and behavioral characteristics. There are also some traits like weight, age, height etc. that may not provide reliable user recognition because of their 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, the authors have proposed an approach for integrating the soft biometrics with fingerprint and face to improve the performance of personal authentication system.