A Novel Framework for Multimodal Biometrics based on Dimensionality Reduction Technique for Reducing Overlapping Features

Authors

  • Manas Kumar Choudhury Dept of IT, Gitam University, Vishakapatnam, AP, India Author
  • Y. Srinivas Dept of IT, Gitam University, Vishakapatnam, AP, India Author

Keywords:

Multimodal biometric, Dimensionality Reduction, Serial Fusion, Performance evaluation, Generalized Gamma Distribution (GGD)

Abstract

In this article, the effect of dimensionality reduction in the authentication process while recognizing the multiple traits is projected. In this paper, the templates of speech face and finger print are fused in serial fusion mode. The concepts Generalized Gamma Distribution (GGD) is considered for modeling the facial data. The performance of the model is evaluated using synthetic data and evaluation is carried out by considering metrics like False Acceptance Rate (FAR), Acceptance Rate, and False Rejection Rate (FRR).

References

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Published

2015-02-28

Issue

Vol.5, No.1 (Jan/Feb 2015)

Section

Articles

How to Cite

A Novel Framework for Multimodal Biometrics based on Dimensionality Reduction Technique for Reducing Overlapping Features. (2015). International Journal of Current Engineering and Technology, 5(1), 244-246. https://ijcet.evegenis.org/index.php/ijcet/article/view/1883