Score-Level Fusion of Fingerprint, Face and Iris based on Choquet Integral

Haddada, Lamia Rzouga; Amara, Najoua Essoukri Ben

doi:10.1109/nanofim49467.2019.9233483

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…Governing bodies classify such data as sensitive and therefore ought to be protected in secure systems. Given this scenario, [33] proposes a watermarking-based approach that protects biometrics by embedding an iris image into a face image. Also, [34] and [35] provided a comprehensive review of various multimodal biometric techniques, along with a detailed review of biometric template security mechanisms.…”

Section: Multimodal Biometric Authenticationmentioning

confidence: 99%

Medical Systems Data Security and Biometric Authentication in Public Cloud Servers

Santos

Ghita

Masala

2024

IEEE Trans. Emerg. Topics Comput.

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Advances in distributed computing and virtualization allowed cloud computing to establish itself as a popular data management and storage option for organizations. However, unclear safeguards, practices, as well as the evolution of legislation around privacy and data protection, contribute to data security being one of the main concerns in adopting this paradigm. Another important aspect hindering the absolute success of cloud computing is the ability to ensure the digital identity of users and protect the virtual environment through logical access controls while avoiding the compromise of its authentication mechanism or storage medium. Therefore, this paper proposes a system that addresses data security wherein unauthorized access to data stored in a public cloud is prevented by applying a fragmentation technique and a NoSQL database. Moreover, a system for managing and authenticating users with multimodal biometrics is also suggested along with a mechanism to ensure the protection of biometric features. When compared with encryption, the proposed fragmentation method indicates better latency performance, highlighting its strong potential use-case in environments with lower latency requirements such as the healthcare IT infrastructure.

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Section: Multimodal Biometric Authenticationmentioning

confidence: 99%

Medical Systems Data Security and Biometric Authentication in Public Cloud Servers

Santos

Ghita

Masala

2024

IEEE Trans. Emerg. Topics Comput.

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Multimodal biometric system based on fusion techniques: a review

Bala

Gupta

Kumar

2021

Information Security Journal: A Global Perspective

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Strongly Fluorescent Blue-Emitting La2O3: Bi3+ Phosphor for Latent Fingerprint Detection

Douiri,

Abid,

Rzouga Haddada

et al. 2024

Materials

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Blue-emitting bismuth-doped lanthanum oxide (La2O3: Bi3+) with various concentrations of Bi was synthesized using the sol–gel combustion method and used for visualization of latent fingerprints (LFPs). An X-ray diffraction (XRD) study revealed the hexagonal structure of the phosphors and total incorporation of the bismuth in the La2O3 matrix. Field Emission Scanning Electron Microscopy (FE-SEM) and Fourier Transform Infrared Spectroscopy (FTIR) were used to study the morphology and the relative vibrations of the synthesized samples. Photoluminescence (PL) studies showed strong blue emission around 460 nm due to the 3P1 → 1S0 transition. Clear bright-blue fingerprint images were obtained with the powder dusting method on various surfaces like aluminum, compact discs, glass, wood and marble. A first evaluation of these images indicated a clear visualization of all three levels of details and a very high contrast ranging from 0.41 on marble to 0.90 on aluminum. As a further step, we used an algorithm for extracting fingerprint minutiae with which we succeeded in detecting all three levels of fingerprint details and even the most difficult ones, like open and closed pores. According to these analyses, La2O3: Bi phosphor is demonstrated to be an effective blue fluorescent powder for excellent visualization of latent fingerprints.

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Score-Level Fusion of Fingerprint, Face and Iris based on Choquet Integral

Cited by 3 publications

References 30 publications

Medical Systems Data Security and Biometric Authentication in Public Cloud Servers

Medical Systems Data Security and Biometric Authentication in Public Cloud Servers

Multimodal biometric system based on fusion techniques: a review

Strongly Fluorescent Blue-Emitting La2O3: Bi3+ Phosphor for Latent Fingerprint Detection

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