Advanced search ?

Object

Download

Title: Secure Biometric Verification Station Based on Iris Recognition, Journal of Telecommunications and Information Technology, 2012, nr 3

Autor:

Czajka, Adam ; Piech, Krzysztof

Data wydania:

2012, nr 3

Typ zasobu:

artykuł

Opis:

This paper describes an application of the Zak-Gabor-based iris coding to build a secure biometric verification station (SBS), consisting of a professional iris capture camera, a processing unit with specially designed iris recognition and communication software, as well as a display (LCD). Specially designed protocol controls the access to the station and secures the communication between the station and the external world. Reliability of the Zak-Gabor-based coding, similarly to other wavelet-based methods, strongly depends on appropriate choice of the wavelets employed in image coding. This choice cannot be arbitrary and should be adequate to the employed iris image quality. Thus in this paper we propose an automatic iris feature selection mechanism employing, among others, the minimum redundancy, maximum relevance (mRMR) methodology as one, yet important, step to assess the optimal set of wavelets used in this iris recognition application. System reliability is assessed with approximately 1000 iris images collected by the station for 50 different eyes.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Identyfikator zasobu:

oai:bc.itl.waw.pl:1243 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2012.3.1277

ISSN:

1509-4553

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

iris recognition application of biometrics Zak-Gabor-based iris coding feature selection

Object collections:

Last modified:

25 lut 2026

In our library since:

12 lip 2013

Number of object content hits:

194

All available object's versions:

https://ribes-54.man.poznan.pl/publication/1551

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Czajka, Adam; Piech, Krzysztof, Secure Biometric Verification Station Based on Iris Recognition, Journal of Telecommunications and Information Technology, 2012, nr 3 25 lut 2026

Objects Similar
Iris Recognition System Based on Zak-Gabor Wavelet Packets, Journal of Telecommunications and Information Technology, 2010, nr 4

Czajka, Adam Pacut, Andrzej

2010, nr 4
artykuł
Robust and Accurate Iris Segmentation Algorithm for Colorand Noisy Eye Images, Journal of Telecommunications and Information Technology, 2010, nr 4

Strzelczyk, Przemysław

2010, nr 4
artykuł
Supervised Kernel Principal Component Analysis by Most Expressive Feature Reordering, Journal of Telecommunications and Information Technology, 2015, nr 2

Ślot, Krzysztof Żurek, Dominik Duch, Piotr Adamiak, Krzysztof

2015, nr 2
artykuł
2026, nr 2, JTIT-artykuły
2026, nr 2, JTIT-artykuły
Evaluating AES Payload Encryption for Securing MQTT-based Smart Home Networks with Machine Learning-based Intrusion Detection, Journal of Telecommunications and Information Technology, 2026, nr 2

Gajewski, Mariusz Sałabun, Wojciech

2026, nr 2
artykuł
Privacy Preserving and Secure Iris-Based Biometric Authentication for Computer Networks, Journal of Telecommunications and Information Technology, 2011, nr 4

Strzelczyk, Przemysław

2011, nr 4
artykuł
2026, nr 2, JTIT-artykuły
2026, nr 2, JTIT-artykuły
Hybrid Feature Selection Framework for Machine Learning-based Bot Detection on Social Media, Journal of Telecommunications and Information Technology, 2026, nr 2

Guendouz, Amina Boumahdi, Fatima Remmide, Mohamed Abdelkarim Foura, Abdelghani Madani, Amina

2026, nr 2
artykuł
Cross-spectral Iris Recognition for Mobile Applications using High-quality Color Images, Journal of Telecommunications and Information Technology, 2016, nr 3

Trokielewicz, Mateusz Bartuzi, Ewelina

2016, nr 3
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information