2018/03/27 by Anouar Ben Khalifa, Khalifa, Anouar Ben, Sami Gazzah +3
Computer Science · #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #User Authentication and Security Systems
paper · pdf · doi:10.48550/arxiv.1804.00528
openalex created_date 2016/06/24 · openalex publication_date 2018/03/27 · openalex updated_date 2026/07/28
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.