Fusing Fingerprint and Iris Multimodal Biometrics using Soft Computing Techniques
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2015, Vol 6, Issue 6
Abstract
This paper presents the application of soft computing techniques in multimodal biometrics recognition. The paper investigates the comparative performance of three different approaches: nonoptimized neural network trained with unimodal biometrics, non-optimized neural network trained with multimodal fingerprint and iris biometrics and optimized neural network trained with fingerprint and iris biometrics. The experimental results suggest that neural network optimized with genetic algorithm shows better recognition rate as compared to the other two approaches. The performance evaluation of each method is reported in terms of mean square error, percentage error, and accuracy.
Authors and Affiliations
Tanvi Dhingra , Manvjeet Kaur
Keywords
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