Multimodal Biometric Based Person Authentication System Using Fisher Linear Discriminative Analysis (FLDA) Algorithm
Biometric system allows automatic person recognition based on physical or behavioral features which belong to a certain person. Each biometric feature has its limits and no biometric system is perfect so unimodal biometric system raise a variety of problem and the experimental studies show that unimodal biometric systems had many disadvantages regarding performance and accuracy. To over fulfilling some of the mentioned inconvenient and limitations and to increase the level of security the multimodal biometric systems are used. Here, the authors discuss face and fingerprint biometric system. One commonly used approach to the development of biometrics block is combining person information from different biometric features. There are different ways of combining biometric features like decision level fusion, score level fusion, feature level fusion, etc.