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

Creator:

Strzelczyk, Przemysław

Date:

2010, nr 4

Resource Type:

artykuł

Description:

Efficient and robust segmentation of iris images captured in the uncontrolled environments is one of the challenges of non-cooperative iris recognition systems. We address this problem by proposing a novel iris segmentation algorithm, which is suitable both for monochrome and color eye images. The method presented use modified Hough transform to roughly localize the possible iris and pupil boundaries, approximating them by circles. A voting mechanisms is applied to select a candidate iris regions. The detailed iris boundary is approximated by the spline curve. Its shape is determined by minimizing introduced boundary energy function. The described algorithm was submitted to the NICE.I iris image segmentation contest, when it was ranked 11th and 10th out of total 97.

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:1061

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

image segmentation iris recognition biometrics

Object collections:

Last modified:

Mar 14, 2012

In our library since:

Mar 14, 2012

Number of object content hits:

100

All available object's versions:

https://bc.itl.waw.pl/publication/1180

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Edition name Date
Strzelczyk, Przemysław, Robust and Accurate Iris Segmentation Algorithm for Colorand Noisy Eye Images, Journal of Telecommunications and Information Technology, 2010, nr 4 Mar 14, 2012

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

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(+48) 5128 696

E-Mail

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