A Novel Approach for Multimodal Biometric System Using Iris and PalmPrint

Biometric systems, which are being adopted as the most effective solution for security breaches, are pattern recognition systems which identify or verify the person based on their physical/behavioural traits. Multimodal biometric systems, being more reliable and accurate than unimodal systems, are gaining much popularity these days. This paper focuses on review of multimodal systems based on iris and palmprint. Also a new scheme is proposed for extraction of palmprint image from unconstrained background. Then, that image is fused with iris, and their combination is used for verification purpose. The approach mainly relies on IFCM technique for palmprint and RED algorithm for iris feature extraction. Score-level fusion is used for combining two modalities and utilizing hamming distance for generating matching scores for both the traits. Combination of iris and palmprint is a very powerful biometric trait because of the individual strengths and uniqueness of both the traits.