Youssef Elmir; Naim Khelifi

Secured Biometric Identification: Hybrid Fusion of Fingerprint and Finger Veins

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Author(s)

Youssef Elmir ^1,* Naim Khelifi ²

1. Tahri Mohammed University/Department of Mathematics and Computer Science, Béchar, 08000, Algeria

2. Tahri Mohammed University/Department of Electrical Engineering, Béchar, 08000, Algeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2019.05.04

Received: 23 Jan. 2019 / Revised: 12 Feb. 2019 / Accepted: 17 Feb. 2019 / Published: 8 May 2019

Index Terms

Biometrics, fingerprint, finger vein, identification, verification

Abstract

The goal of this work is the improvement of the performance of a multimodal biometric identification system based on fingerprints and finger vein recognition. This system has to authenticate the person identity using features extracted from his fingerprints and finger veins by multimodal fusion. It is already proved that multimodal fusion improves the performance of biometric recognition, basically the fusion at feature level and score level. However, both of them showed some limits and in order to enhance the overall performance, a new fusion method has been proposed in this work; it consists on using both features and scores fusion at the same time. The main contribution of investigation this technique of fusion is the reduction of the template size after fusion without influencing the overall performance of recognition. Experiments were performed on a real multimodal database SDUMLA-HMT and obtained results showed that as expected multimodal fusion strategies achieved the best performances versus uni-modal ones, and the fusion at feature level was better than fusion at score level in recognition rate (100%, 95.54% respectively) but using more amounts of data for identification. The proposed hybrid fusion strategy has overcome this limit and clearly preserved the best performance (100% as recognition rate) and in the same time it has reduced the proportion of essential data necessary for identification.

Cite This Paper

Youssef Elmir, Naim Khelifi, "Secured Biometric Identification: Hybrid Fusion of Fingerprint and Finger Veins", International Journal of Information Technology and Computer Science(IJITCS), Vol.11, No.5, pp.30-39, 2019. DOI:10.5815/ijitcs.2019.05.04

Reference

[1]L. You and T. Wang, “A novel fuzzy vault scheme based on fingerprint and finger vein feature fusion,” Soft Computing, pp. 1-9, 2018.

[2]W. Yanga, S. Wang, J. Huc, G. Zhenga and C. Vallia, “A Fingerprint and Finger-vein Based Cancelable Multi-biometric System,” Pattern Recognition, 2018.

[3]J. Yang and X. Zhang, “Feature-level fusion of fingerprint and finger-vein for personal identification,” Pattern Recognition Letters, pp. 623–628, 2012.

[4]H. P. Young et al., “A multimodal biometric recognition of touched fingerprint and finger-vein,” in International Conference on Multimedia and Signal Processing (CMSP), Guilin, Guangxi, China, 2011.

[5]G. Arnaud and C. Guillaume, “Vision Par Ordinateur – Filtres de Gabor,”.

[6]Š. Vitomir and N. Pavešić, “Gabor-based kernel partial-least-squares discrimination features for face recognition,” Informatica, vol. 20, no. 1, pp. 115-138, 2009.

[7]Š. Vitomir and N. Pavešić, “The complete gabor-fisher classifier for robust face recognition,” EURASIP Journal on Advances in Signal Processing, no. 1, 2010.

[8]J. Anil K., R. Arun, and P. Salil, “An introduction to biometric recognition,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 4-20, January 2004.

[9]Y. Yin, L. Liu, and X. Sun, “SDUMLA-HMT: A Multimodal Biometric Database.,” in The 6th Chinese Conference on Biometric Recognition (CCBR 2011), LNCS 7098, Beijing, China, 2011, pp. 260-268.

[10]K. Naim, Un Système Biométrique Basé sur la Fusion des Empreintes Digitales et des Veines des Doigts, Tahri Mohammed University, Béchar, 2015.

International Journal of Information Technology and Computer Science (IJITCS)