Research In Motion
Face recognition has received much attention in the recent years due to its wide range of applications. The available face recognition algorithm's performance in the presence of multiple variations such as illumination, pose, expression and occlusion is not satisfactory. Multimodal biometric systems utilize multiple biometric sources in order to increase robustness as compared to single biometric system. In this paper, a multimodal biometric system is introduced which integrates face verification by three different methods. A fuzzy based decision making system is designed which takes input from the three recognition made by different methods and gives an identity of recognized person.