• Chhaya Sunil Khandelwal
• Ranjan Maheshwari
• Ulhas Shinde

This paper presents fusion of two biometric traits, i.e., iris and fingerprint, at matching score level architecture The features are extracted from the pre-processed images of iris and fingerprint. These features of a query image are compared with those of a database image to obtain matching scores. The individual scores generated after matching are passed to the fusion module. The biometrics system is a pattern recognition system that is used for a verifying individual using different biometric traits. For authentication system, one biometrics modality may not satisfy the properties such as accuracy, precision, and sensitivity. To overcome this problem we use multimodal biometrics.Multimodal biometrics means using multiple sources of information. In this paper, we use two biometrics traits such as fingerprint and iris. In terms of methodology, we propose using principal component analysis and linear differential analysis techniques and minutiae for feature extraction of iris and fingerprint traits. Afterword, we use rank level fusion.

Multimodal biometrics, PCA, LDA, Iris recognition,Fingerprint recognition, Rank level fusion

" Identification of biometrics System for feature extraction of Iris and fingerprint", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.145-149, June 2019, Available :http://www.jetir.org/papers/JETIR1908483.pdf

" Identification of biometrics System for feature extraction of Iris and fingerprint", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp145-149, June 2019, Available at : http://www.jetir.org/papers/JETIR1908483.pdf