Optimum scheme selection for face–iris biometric. Issue 5 (13th January 2017)

• Record Type: Journal Article
• Authors: Eskandari, Maryam; Sharifi, Omid
• Is Part Of: IET biometrics. Volume 6:Issue 5(2017)
• Page Start: 334
• Page End: 341
• Publication Date: 2017-01-13
• Subjects: image fusion -- face recognition -- eye -- iris recognition -- feature extraction -- optimisation; optimum scheme selection -- face–iris biometric -- face–iris fusion -- feature level fusion -- decision level fusion -- face modalities -- iris modalities -- dynamic feature selection -- face biometrics -- iris biometrics -- threshold‐optimised decisions -- combined level fusion; Biometric identification -- Periodicals; 570.15195
• DOI: 10.1049/iet-bmt.2016.0060
• Languages: English
• ISSNs: 2047-4938

Abstract

Abstract : Designing a new dynamic and optimal scheme for face–iris fusion based on the score level, feature level and decision level fusion is considered in this study. Prior to implementing the proposed combined level fusion, several schemes are separately implemented at each level of fusion to investigate the performance improvement of each level of fusion on face and iris modalities. In fact, the optimum scheme is constructed by selecting flexible and dynamic features and scores of face and iris biometrics and then combining the advantages of different levels of fusion. Consequently, the scheme produces a set of fast and flexible features and scores for fusion. On the other hand, the idea of threshold‐optimised decisions is used in this study to fuse the optimised decisions of face and iris biometrics. Experimental results on verification rates demonstrate a significant improvement of proposed combined level fusion scheme over unimodal and multimodal fusion methods.