Title: A hybrid multimodal biometric scheme based on face and both irises integration for person authentication
Authors: Larbi Nouar; Nasreddine Taleb; Miloud Chikr El-Mezouar
Addresses: RCAM Laboratory, Department of Electronics, Djillali Liabes University, Sidi Bel Abbes, 22000, Algeria ' RCAM Laboratory, Department of Electronics, Djillali Liabes University, Sidi Bel Abbes, 22000, Algeria ' RCAM Laboratory, Department of Electronics, Djillali Liabes University, Sidi Bel Abbes, 22000, Algeria
Abstract: In the biometric field, mono-modal biometry suffers from multiple lacks. The use of multiple biometrics has helped getting over those limitations and has allowed outperforming single biometrics in terms of recognition rate. In this paper, we propose a new approach that fuses the Gabor-Winger transform and the oriented Gabor phase information for feature extraction as well as a hybrid scheme consisting of multi-algorithm, multi-instance and multi-modal systems that integrates face and both left and right irises of the same subject. The SDUMLAHMT database has been used to evaluate the proposed approach. The results show that our multi-modal biometric system achieves higher accuracy than the single biometric approaches as well as the other existing multi-biometric systems.
Keywords: biometrics; multi-biometric systems; iris recognition; face recognition; fusion; multi-algorithm; DET curve; feature extraction.
DOI: 10.1504/IJBET.2021.116991
International Journal of Biomedical Engineering and Technology, 2021 Vol.36 No.3, pp.270 - 292
Received: 26 Jan 2018
Accepted: 11 May 2018
Published online: 11 Aug 2021 *