Iris recognition by fusing different representations of multi-scale Taylor expansion
(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.
(Less)
- author
- Bastys, Algirdas ; Kranauskas, Justas and Krüger, Volker LU
- publishing date
- 2011-06-01
- 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}}, }