Multibiometric systems: A comparative study of multi-algorithmic and multimodal approaches

In this paper, we present a comparative analysis of Multi-algorithmic and Multimodal approaches. We have used palmprint and face as biometric traits and other popular subspace algorithms (PCA, FLD, and ICA). Subsequently, the different combinations of algorithms are also evaluated in our experiment. The multi-algorithmic approach achieves incremental results where as multimodal approach yields far improved results. Hence Complimentary information available through multimodal approach always performs better than multi-algorithmic approach which mainly builds on supplementary information.