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Multimodal Biometric System Fusion using Fingerprint and Iris

Author(s):

Fenil Thakkar , L. J. Institute of Engineering & Technology; Ompriya Kale, L. J. Institute of Engineering & Technology

Keywords:

Fusion, Fingerprint, False Acceptance Rate

Abstract

Single biometric systems have a too much of problems like noisy data, non-universality, spoof attacks and higher acceptance and rejection rate. These limitations can be solved by using multimodal biometric systems. Multimodal Biometric systems fuse two or more physical traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR), thus improving system accuracy. This paper surveys that multimodal biometric systems using fusion of fingerprint and iris recognition gives better FAR and FRR. Different Fusion level techniques are mentioned with their advantage and disadvantages.

Other Details

Paper ID: IJSRDV3I40705
Published in: Volume : 3, Issue : 4
Publication Date: 01/07/2015
Page(s): 1100-1103

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