B Face and Gait Fusion

Biometric authentication of a person is highly challenging and complex problem. Face and gait identifications in video have received significant attention. Consequently, their identification problems have challenges due to their large varying appearances and high complex pattern distributions. However, the complementary properties of these two biometrics suggest fusion of them. Face identification is more reliable when the person is close to the camera. On the other hand, gait is a suitable Biometric trait for human identification at a distance. In this paper we have discussed multimodal biometrics to increase the security level. With the fusion of multiple biometrics we can minimize the system error rates, Moreover, we have mentioned some of the most recent algorithms developed for this purpose and attempts to give an idea of the state of the art of face and gait recognition technology and a brief overview of Biometric methods, both unimodal and multimodal, and their advantages and disadvantages, will be presented.