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

Creator:

Czajka, Adam ; Pacut, Andrzej

Date:

2010, nr 4

Resource Type:

artykuł

Description:

The paper proposes a new iris coding method based on Zak-Gabor wavelet packet transform. The essential component of the iris recognition methodology design is an effective adaptation of the transformation parameters that makes the coding sensitive to the frequencies characterizing ones eye. We thus propose to calculate the between-to-within class ratio of weakly correlated Zak-Gabor transformation coefficients allowing for selection the frequencies the most suitable for iris recognition. The Zak-Gabor-based coding is non-reversible, i.e., it is impossible to reconstruct the original iris image given the iris template. Additionally, the inference about the iris image properties from the Zak-Gabor-based code is limited, providing a possibility to embed the biometric replay attack prevention methodology into the coding. We present the final prototype system design, including the hardware, and evaluate its performance using the database of 720 iris images.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1062

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

iris recognition biometrics Zak-Gabor transform

Object collections:

Last modified:

Mar 14, 2012

In our library since:

Mar 14, 2012

Number of object content hits:

78

All available object's versions:

https://bc.itl.waw.pl/publication/1181

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Edition name Date
Czajka, Adam; Pacut, Andrzej, Iris Recognition System Based on Zak-Gabor Wavelet Packets, Journal of Telecommunications and Information Technology, 2010, nr 4 Mar 14, 2012

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