A New Biometric Human Identification Based On Fusion Fingerprints and Finger Veins Using monoLBP Descriptor
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A New Biometric Human Identification Based On Fusion Fingerprints and Finger Veins Using monoLBP Descriptor

Authors: Alima Damak Masmoudi, Randa Boukhris Trabelsi, Dorra Sellami Masmoudi

Abstract:

Single biometric modality recognition is not able to meet the high performance supplies in most cases with its application become more and more broadly. Multimodal biometrics identification represents an emerging trend recently. This paper investigates a novel algorithm based on fusion of both fingerprint and fingervein biometrics. For both biometric recognition, we employ the Monogenic Local Binary Pattern (MonoLBP). This operator integrate the orginal LBP (Local Binary Pattern ) with both other rotation invariant measures: local phase and local surface type. Experimental results confirm that a weighted sum based proposed fusion achieves excellent identification performances opposite unimodal biometric systems. The AUC of proposed approach based on combining the two modalities has very close to unity (0.93).

Keywords: fingerprint, fingervein, LBP, MonoLBP, fusion, biometric trait.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1058327

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References:


[1] H. Kopka and P. W. Daly, Online Palm print Identification,IEEE Trans. Pattern Analysis and Machine Intelligence,25(2):10411050, 2003.
[2] Jianwei Yang and Lifeng Liu, A modified Gabor filter design method for fingerprint image enhancement,Pattern Recognition Letters, 24(1):18051817, 2003.
[3] M. Kawagoe and A. Tojo, Fingerprint Pattern Classification,Pattern Recognition,17(3):295303, 1984.
[4] Arun Vinodh C, Extracting and Enhancing the Core Area in Fingerprint Images,IJCSNS International Journal of Computer Science and Network Security,7(11), 2007.
[5] Lin Hong, Yifei Wan and Jain A., Fingerprint image enhancement: algorithm and performance evaluation,IEEE transactions on pattern analysis and machine intelligence,20(8):777 789, 1998.
[6] T. Ojala, M. Pietikinen and T. Menp, Online Palm print Identification, Multiresolution gray-scale and rotation invariant texture classifcation with local binary patterns,24(1):971 987, 2002.
[7] M. Felsberg and G. Sommer, The monogenic signal, IEEE Trans. SP, 49(1):31363144, 2001.
[8] Timo Ahonen, Abdenour Hadid and Matti Piesetikainen, Face Description With Local Binary Patterns:Application to Face Recognition,IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(12):20732041, 2006.
[9] A.Teoch, S. A. Samad and A.hussain, Nearest Neigh- bourhood Classifers in biometric Fusion,IInternational Journal of the Computer, 12(1):2326, 2004..
[10] S. C. Dass, K. Nandakumar and A. K. Jain, A principal approach to score level fusion in Multimodal Biometrics System,Proceedings of ABVPA, 2005.
[11] Hatim A. Aboalsamh, A Multi Biometric System Using Combined Vein and Fingerprint Identification,International journal of circuits, systems and signal, processing, 5(1):2936, 2011.