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Iris recognition by fusing different representations of multi-scale Taylor expansion

Bastys, Algirdas ; Kranauskas, Justas and Krüger, Volker LU orcid (2011) In Computer Vision and Image Understanding 115(6). p.804-816
Abstract

The random distribution of features in an iris image texture allows to perform iris-based personal authentication with high confidence. We propose three new iris representations that are based on a multi-scale Taylor expansion of the iris texture. The first one is a phase-based representation that is based on binarized first and second order multi-scale Taylor coefficient. The second one is based on the most significant local extremum points of the first two Taylor expansion coefficients. The third method is a combination of the first two representations. Furthermore, we provide efficient similarity measures for the three representations that are robust to moderate inaccuracies in iris segmentation. In a thorough validation using the... (More)

The random distribution of features in an iris image texture allows to perform iris-based personal authentication with high confidence. We propose three new iris representations that are based on a multi-scale Taylor expansion of the iris texture. The first one is a phase-based representation that is based on binarized first and second order multi-scale Taylor coefficient. The second one is based on the most significant local extremum points of the first two Taylor expansion coefficients. The third method is a combination of the first two representations. Furthermore, we provide efficient similarity measures for the three representations that are robust to moderate inaccuracies in iris segmentation. In a thorough validation using the three iris data-sets Casia 2.0 (device 1), ICE-1 and MBGC-3l, we show that the first two representations perform very well while the third one, i.e., the combination of the first two, significantly outperforms state-of-art iris recognition approaches.

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author
; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Fusion, Iris, Local features, Multi-scale, Recognition, Segmentation, Similarity, Verification, Warping
in
Computer Vision and Image Understanding
volume
115
issue
6
pages
13 pages
publisher
Elsevier
external identifiers
  • scopus:79952846401
ISSN
1077-3142
DOI
10.1016/j.cviu.2011.02.004
language
English
LU publication?
no
id
f49361d4-78d4-4ca7-99f2-3219e61cdc93
date added to LUP
2019-06-28 09:22:56
date last changed
2022-01-31 22:45:08
@article{f49361d4-78d4-4ca7-99f2-3219e61cdc93,
  abstract     = {{<p>The random distribution of features in an iris image texture allows to perform iris-based personal authentication with high confidence. We propose three new iris representations that are based on a multi-scale Taylor expansion of the iris texture. The first one is a phase-based representation that is based on binarized first and second order multi-scale Taylor coefficient. The second one is based on the most significant local extremum points of the first two Taylor expansion coefficients. The third method is a combination of the first two representations. Furthermore, we provide efficient similarity measures for the three representations that are robust to moderate inaccuracies in iris segmentation. In a thorough validation using the three iris data-sets Casia 2.0 (device 1), ICE-1 and MBGC-3l, we show that the first two representations perform very well while the third one, i.e., the combination of the first two, significantly outperforms state-of-art iris recognition approaches.</p>}},
  author       = {{Bastys, Algirdas and Kranauskas, Justas and Krüger, Volker}},
  issn         = {{1077-3142}},
  keywords     = {{Fusion; Iris; Local features; Multi-scale; Recognition; Segmentation; Similarity; Verification; Warping}},
  language     = {{eng}},
  month        = {{06}},
  number       = {{6}},
  pages        = {{804--816}},
  publisher    = {{Elsevier}},
  series       = {{Computer Vision and Image Understanding}},
  title        = {{Iris recognition by fusing different representations of multi-scale Taylor expansion}},
  url          = {{http://dx.doi.org/10.1016/j.cviu.2011.02.004}},
  doi          = {{10.1016/j.cviu.2011.02.004}},
  volume       = {{115}},
  year         = {{2011}},
}