Applications of Principal Component Analysis in Multimodal Biometric Fusion System
In the real world applications, unimodal biometric systems often face limitations because of sensitivity to noise, intra class invariability, data quality, and other factors. Improving the performance of individual matchers in the aforementioned situation may not be effective. Multi biometric systems are used to overcome this problem by providing multiple pieces of evidence of the same identity. This system provides effective fusion scheme that combines information presented by the multiple domain experts based on the rank level fusion integration method, thereby increasing the efficiency of the system which is not possible by the unimodal biometric system.