Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2014 Jan 29:2014:829369.
doi: 10.1155/2014/829369. eCollection 2014.

Comparative study of multimodal biometric recognition by fusion of iris and fingerprint

Houda Benaliouche  1 , Mohamed Touahria  1
Affiliations
Comparative Study

Comparative study of multimodal biometric recognition by fusion of iris and fingerprint

Houda Benaliouche et al. ScientificWorldJournal. .

Abstract

This research investigates the comparative performance from three different approaches for multimodal recognition of combined iris and fingerprints: classical sum rule, weighted sum rule, and fuzzy logic method. The scores from the different biometric traits of iris and fingerprint are fused at the matching score and the decision levels. The scores combination approach is used after normalization of both scores using the min-max rule. Our experimental results suggest that the fuzzy logic method for the matching scores combinations at the decision level is the best followed by the classical weighted sum rule and the classical sum rule in order. The performance evaluation of each method is reported in terms of matching time, error rates, and accuracy after doing exhaustive tests on the public CASIA-Iris databases V1 and V2 and the FVC 2004 fingerprint database. Experimental results prior to fusion and after fusion are presented followed by their comparison with related works in the current literature. The fusion by fuzzy logic decision mimics the human reasoning in a soft and simple way and gives enhanced results.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Fusion scenarios of multimodal systems.
Figure 2
Figure 2
Levels of fusion in multimodal biometric systems.
Figure 3
Figure 3
Flow chart of the application showing the main modules of the multimodal biometric recognition system.
Figure 4
Figure 4
Score level fusion using iris and fingerprint biometric modalities.
Figure 5
Figure 5
Decision level fusion using iris and fingerprint biometric modalities.
Figure 6
Figure 6
Fuzzy sets of the proposed entries and their trapezoidal membership functions.
Figure 7
Figure 7
GUI of the verification process in the iris monomodal recognition system.
Figure 8
Figure 8
GUI of the identification process in the iris monomodal recognition system.
Figure 9
Figure 9
GUI of the verification process in the fingerprint monomodal recognition system.
Figure 10
Figure 10
GUI of the identification process in the fingerprint monomodal recognition system.
Figure 11
Figure 11
GUI showing the matching using the fusion by the sum rule.
Figure 12
Figure 12
GUI showing the matching using the fusion by the weighted sum rule.
Figure 13
Figure 13
GUI showing the matching using the fusion by the fuzzy inference system.
Figure 14
Figure 14
FAR and FRR using Experiment 4 (iris and fingerprint fusion based sum rule matching).
Figure 15
Figure 15
FAR and FRR using Experiment 5 (iris and fingerprint fusion based weighted sum rule matching).
See this image and copyright information in PMC

References

    1. Raghavendra R, Ashok R, Kumar GH. Multimodal biometric score fusion using gaussian mixture model and Monte Carlo method. Journal of Computer Science and Technology. 2010;25(4):771–782.
    1. Zhou J, Su G, Jiang C, Deng Y, Li C. A face and fingerprint identity authentication system based on multi-route detection. Neurocomputing. 2007;70(4–6):922–931.
    1. Ross A, Jain AK. multimodal biometrics: an overview. Proceedings of the 12th European Signal Processing Conference (EUSIPCO ’04); September 2004; Vienna, Austria. pp. 1221–1224.
    1. Ailisto H, Vildjiounaite E, Lindholm M, Mäkelä S-M, Peltola J. Soft biometrics-combining body weight and fat measurements with fingerprint biometrics. Pattern Recognition Letters. 2006;27(5):325–334.
    1. Xie SJ, Yang J, Park DS, Yoon S, Shin J. State of the art in biometrics. In: Yang J, Nanni L, editors. Iris Biometric Cryptosystems. InTech; 2011.

Publication types