Topology optimization of fuzzy systems for response integration in ensemble neural networks: The case of fingerprint recognition

López, Miguel Álvarez; Melín, Patricia

doi:10.1109/nafips.2008.4531334

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…Some of the more recent researches are on using Genetic algorithm [14], Fuzzy systems [15], Wavelet statistical features [16], Geometric prediction [17], Radial basis function neural network (RBFNN) [18], Principal Component Analysis (PCA) [11] and convex hulls [19]. In this work a minutia-based algorithm is used for fingerprint matching assuming that there is access to fairly clear fingerprints.…”

Section: Fingerprintmentioning

confidence: 99%

Design and implementation of multimodal digital identity management system using fingerprint matching and face recognition

Agbinya

Mastali

Islam

et al. 2011

7th International Conference on Broadband Communications and Biomedical Applications

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In moving towards ubiquitous online services and hybrid network environment, a highly complex identity management environment is emerging due to the diversity of protocols, networks and devices as well as user requirements. The combination of distributed attributes and identities are often not associated across identity management systems and carries different amount of security data. This causes difficulties due to multiple identities and raises the need for an efficient design of an identity management system. The multiplicities of approaches to and techniques for identity management, while dealing with the present challenges, have introduced new problems, especially the concern about privacy. Biometrics technologies nowadays are typically considered a vital component of the security requirements and are strongly attached to the basis of highly secure identification and authentication solutions. This paper describes the fundamental concepts of identity authentication and identity management systems. In this work we also propose and implement a multimodal Digital Identity Management System (IDMS) integrating pseudo metrics, physical metrics and biometrics techniques based on artificial neural networks.

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Section: Fingerprintmentioning

confidence: 99%

Design and implementation of multimodal digital identity management system using fingerprint matching and face recognition

Agbinya

Mastali

Islam

et al. 2011

7th International Conference on Broadband Communications and Biomedical Applications

View full text Add to dashboard Cite

show abstract

“…Some of the more recent researches are on using Genetic algorithm [21], Fuzzy systems [22], Wavelet statistical features [23], Geometric prediction [24], Radial basis function neural network (RBFNN) [25], Principal Component Analysis (PCA) [15] and convex hulls [26]. The broad area of research on this subject and extensive efforts to advance this technique indicates that fingerprint method is a very popular biometric technique used in personal identification.…”

Section: Fingerprint and Face Verification Challengesmentioning

confidence: 99%

Authentication of subjects and devices using biometrics and identity management systems for persuasive mobile computing: A survey paper

Mastali

Agbinya

2010

2010 Fifth International Conference on Broadband and Biomedical Communications

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With the advances in Information Technology (IT) there has been an increase in threats to the communication systems and its assets. One of the most important issues of all IP networks that integrate wireless and wired technologies is the applicability and performance of the electronic identification and authentication methods. These schemes employ a variety of technologies of different degrees of security.Biometrics technology nowadays is typically considered a security necessity, tightly coupled with the foundation of highly secure identification and authentication solutions. This article provides a short survey on different types of authentication and identity management systems. It attempts to describe a summary of related works including some of the latest schemes in face and fingerprint recognition. With a better understanding of electronic authentication techniques any organization can properly select and utilize the technologies which meet its needs.

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“…There are different techniques and methods that can be used for feature extraction, and today it is easier to recognize a person by the existing biometric methods. For example, a person can be recognized for its iris, fingerprints, and face, recognizable by his voice, signature, hand geometry, ear, vein structure, retina, facial thermography and others that exist [16][17][18][19]. At this moment, biometric methods have been implemented using different devices to create patterns and generate the code that identifies the persons [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Genetic Optimization of Neural Networks for Person Recognition based on the Iris

Melín¹,

Herrera²,

Romero³

et al. 2012

TELKOMNIKA

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Tulisan ini menjabarkan penerapan arsitektur jaringan syaraf modular untuk kegunaan identifikasi orang menggunakan citra iris mata sebagai ukuran biometrik. Database iris mata manusia diperoleh dari Institut Automasi Akademi Ilmu Pengetahuan Cina (CASIA). Hasil simulasi ditunjukkan dengan menggunakan pendekatan jaringan syaraf modular, optimasinya menggunakan algorima genetik dan penggabungannya dengan metode lain seperti metode jaringan gerbang, integrasi fuzi tipe-1 dan penggabungan fuzi teroptimasi dengan algoritma genetik. Hasil simulasi menunjukkan tingkat indetifikasi yang bagus saat mengggunakan integrator fuzi dan struktur terbaik dimiliki oleh algoritma genetik.

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Topology optimization of fuzzy systems for response integration in ensemble neural networks: The case of fingerprint recognition

Cited by 4 publications

References 17 publications

Design and implementation of multimodal digital identity management system using fingerprint matching and face recognition

Design and implementation of multimodal digital identity management system using fingerprint matching and face recognition

Authentication of subjects and devices using biometrics and identity management systems for persuasive mobile computing: A survey paper

Genetic Optimization of Neural Networks for Person Recognition based on the Iris

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