Multimodal Biometric Identification System based on Cascaded Advanced of Fingerprint and Finger Vein Images and AND Rule at Decision Level Fusion

El Mehdi Cherrat, Rachid Alaoui, Hassane Bouzahir

2018

Abstract

The multimodal identification system can integrate a variety of biometric characteristics. The main advan-tage of multibiometric system against traditional single biometric is achieving the recognition process more accurate and safe. In this paper, we will present a multimodal biometric recognition system that combines fingerprint and finger vein. In first step level, the fingerprint image is enhanced based on gabor filter algorithm and binarized. Moreover, it is passed to thinning technique, extract minutiae points and finally the matching. If the matching score is greater than the given fingerprint threshold then recognition is stopped. Else, the second level is started with fingervein image. The orientation correction, ROI detection based on canny method and local histogram equalization are applied to improve the quality of fingervein image. After that, the important features are extracted using HOG method. In the other level, the recognition of the both biometrics sources are verified at decision level fusion based on AND rule. The simulation results have demonstrated that the proposed fusion algorithm performs increase probability the accuracy to 99,85 than the other system based on unimodal characteristics

Paper Citation

in Harvard Style

Cherrat E., Alaoui R. and Bouzahir H. (2018). Multimodal Biometric Identification System based on Cascaded Advanced of Fingerprint and Finger Vein Images and AND Rule at Decision Level Fusion.In Proceedings of the 1st International Conference of Computer Science and Renewable Energies - Volume 1: ICCSRE, ISBN 978-989-758-431-2, pages 161-166. DOI: 10.5220/0009773701610166

in Bibtex Style

@conference{iccsre18,
author={El Mehdi Cherrat and Rachid Alaoui and Hassane Bouzahir},
title={Multimodal Biometric Identification System based on Cascaded Advanced of Fingerprint and Finger Vein Images and AND Rule at Decision Level Fusion},
booktitle={Proceedings of the 1st International Conference of Computer Science and Renewable Energies - Volume 1: ICCSRE,},
year={2018},
pages={161-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009773701610166},
isbn={978-989-758-431-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference of Computer Science and Renewable Energies - Volume 1: ICCSRE,
TI - Multimodal Biometric Identification System based on Cascaded Advanced of Fingerprint and Finger Vein Images and AND Rule at Decision Level Fusion
SN - 978-989-758-431-2
AU - Cherrat E.
AU - Alaoui R.
AU - Bouzahir H.
PY - 2018
SP - 161
EP - 166
DO - 10.5220/0009773701610166