The Choquet integral is a tool for the information fusion that is very effective in the case where fuzzy measures associated with it are well chosen. In this paper,we propose a new approach for calculating fuzzy measures associated with the Choquet integral in a context of data fusion in multimodal biometrics. The proposed approach is based on genetic algorithms. It has been validated in two databases: the first base is relative to synthetic scores and the second one is biometrically relating to the face, fingerprintand palmprint. The results achieved attest the robustness of the proposed approach.
@article{arxiv.1804.00528,
title = {Multimodal Biometric Authentication Using Choquet Integral and Genetic Algorithm},
author = {Anouar Ben Khalifa and Sami Gazzah and Najoua Essoukri Ben Amara},
journal= {arXiv preprint arXiv:1804.00528},
year = {2018}
}