Analysis of Sparse Representation and PCA fusion methods for Iris and Palmprint biometric features

Multimodal Biometric System using multiple sources of information is proposed. In this paper multimodal biometric images such as palmprint, and iris are extracted individually and fused together using sparse fusion mechanism and PCA fusion mechanism. The images are pre-processed for feature extraction. CASIA database is chosen for the biometric images. All the images are 8 bit gray-level JPEG image. In this process QABF, VIF, MI metrics are applied to the fused template to record the performance variation of fusion mechanism.