Soft biometric verification by integrating static and dynamic features based on fuzzy inference

This paper proposes a simple multimodal soft biometic verification method based on fuzzy inference. This study is a part of the challenge to develop an novel natural verification technology that a user doesn't need to hold his/her biometric features to an authentication device. We employ both of static and dynamic features obtained from an appearance of a person in gait. As the result of verification experiment, we show that our developed method works successfully in spite of simple approach and an easy-to-use device.