Biometric Individual Authentication System using High Performance ECG Fiducial Features

Benabdallah, Amel; Djebbari, Abdelghani

doi:10.1109/isia55826.2022.9993496

Cited by 2 publications

(1 citation statement)

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“…Furthermore, biometric modalities are inherently present in individuals, making them exceptionally challenging to counterfeit or pilfer [2]. Besides, biometric characteristics establish a robust connection between a user and their identity [3]. Furthermore, a system that relies on human attributes is regarded as a better choice in terms of dependability and accuracy [4].…”

Section: Introductionmentioning

confidence: 99%

An Approach for Full Reinforcement-Based Biometric Score Fusion

Cheniti,

Akhtar,

Adak

et al. 2024

IEEE Access

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Multibiometric systems have the potential to mitigate error rates and address certain inherent weaknesses found in unimodal systems. This study introduces an innovative scheme for user recognition in multibiometric systems, centered on a score-level fusion framework. The foundation of this framework lies in the full reinforcement operator (FRO), specifically estimating FRO through generator functions associated with triangular norms (T-norms and T-conorm). The efficiency of the proposed method has been showcased through an extensive set of experiments carried out on four commonly available benchmark databases: all three partitions of the National Institute of Standards and Technology (NIST) databases (Set 1, 2, 3), along with the XM2VTS database. Our method achieves superior accuracy compared to existing methods, reaching 100 % recognition on NIST-Set 1, 93.40 % on NIST-Set 2, and 94.54 % on the more challenging NIST-Set 3. The experimental findings illustrate that score fusion schemes based on FRO not only enhance verification rates when compared to current score-level fusion techniques (such as Asymmetric Aggregation Operators, Minimum, Maximum, T-norms, and Symmetric-Sum) but also offer a swift computational performance. INDEX TERMS Unidiomatic system, multibiometric system, score-level fusion, full reinforcement operator (FRO).

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Section: Introductionmentioning

confidence: 99%