<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Multimodal biometrics is the technique of using multiple modalities on a single system. This allows us to overcome the limitations of unimodal systems, such as the inability to acquire data from certain individuals or intentional fraud, while improving recognition performance. In this paper, a study of score normalization and its impact on the performance of the system is performed. The fusion of scores requires prior normalisation before applying a weighted sum fusion that separates impostor and genuine scores into a common interval with close ranges. The experiments were carried out on three biometric databases. The results show that the proposed strategy performs very encouragingly, especially in combination with Empirical Modal Decomposition (EMD). The proposed fusion system shows good performance. The best result is obtained by merging the globality online signature and fingerprint where an EER of 1.69 % is obtained by normalizing the scores according to the Min-Max method.</p>
</abstract>

Multimodal biometrics is the technique of using multiple modalities on a single system. This allows us to overcome the limitations of unimodal systems, such as the inability to acquire data from certain individuals or intentional fraud, while improving recognition performance. In this paper, a study of score normalization and its impact on the performance of the system is performed. The fusion of scores requires prior normalisation before applying a weighted sum fusion that separates impostor and genuine scores into a common interval with close ranges. The experiments were carried out on three biometric databases. The results show that the proposed strategy performs very encouragingly, especially in combination with Empirical Modal Decomposition (EMD). The proposed fusion system shows good performance. The best result is obtained by merging the globality online signature and fingerprint where an EER of 1.69 % is obtained by normalizing the scores according to the Min-Max method.

Multimodal Biometric System Based on the Fusion in Score of Fingerprint and Online Handwritten Signature

Applied Computer Systems

This work is licensed under the Creative Commons Attribution 4.0 International License.

Multimodal biometrics is the technique of using multiple modalities on a single system. This allows us to overcome the limitations of unimodal systems, such as...

Multimodal Biometric System Based on the Fusion in Score of Fingerprint and Online Handwritten Signature

Online veröffentlicht: 17. Aug. 2023

Seitenbereich: 58 - 65

DOI: https://doi.org/10.2478/acss-2023-0006

Schlüsselwörter
Empirical mode decomposition (EMD), fingerprint, image and signal processing, Min-Max, multibiometrics, online handwritten signature, scores fusion, weighted sum

© 2023 Toufik Hafs et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Multimodal Biometric System Based on the Fusion in Score of Fingerprint and Online Handwritten Signature

Online veröffentlicht: 17. Aug. 2023

Seitenbereich: 58 - 65

DOI: https://doi.org/10.2478/acss-2023-0006

SchlüsselwörterEmpirical mode decomposition (EMD), fingerprint, image and signal processing, Min-Max, multibiometrics, online handwritten signature, scores fusion, weighted sum

© 2023 Toufik Hafs et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Empirical mode decomposition (EMD), fingerprint, image and signal processing, Min-Max, multibiometrics, online handwritten signature, scores fusion, weighted sum