1. A benchmark tetra-modal biometric score database.
- Author
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Rzouga Haddada, Lamia, Mekki Rmida, Faten, Ouarda, Wael, Khanfir Kallel, Imène, Maalej, Ramzi, Masmoudi, Saber, Alimi, Adel M., and Essoukri Ben Amara, Najoua
- Subjects
DATABASES ,DNA ,SYSTEM identification ,RESEARCH personnel ,SECURITY systems ,HUMAN fingerprints - Abstract
As biometric technology evolves speedily, challenges increase to implement secure and accurate systems for personal identification and authentication as the highest target to achieve. Parallel security system evolution reveals continuously that monomodal biometrics is no longer exerted due to the lack of relevance in intruder's identification. The switch to multimodality started to be more attractive for researchers as well as investigators considering their advantages. We present a tetra modal biometric base integrating hard (fingerprint, face, and iris) and genetic (DeoxyriboNucleic Acid (DNA)) characteristics building process, extracted features, and matching scores from 500 consented volunteers throughout Tunisia. This database was developed within the framework of the PBMLT project (Plateforme Biométrique Multimodale de Lutte contre le Terrorisme). A fusion of matching scores generated by fingerprint, face, and iris modalities to identity verification is carried out using the Choquet integral approach. The collected multimodal database is flexible, suggesting that if one of the modalities is excluded, the system can still ensure security using the remaining. Except for DNA, the modality often approves its forensic relevance on its monomodal subsystem. Scores@PBMLT database will open up benchmark perspectives, particularly in terms of fusion algorithms at the score level. • A new multimodal biometric score database is presented. • It includes information about Fingerprint, Face, Iris and DNA. • Experimental protocols and baseline results are provided to promote Scores@PBMLT database usage. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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