Abstract
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<p>We present a new system for biome … <p>We present a new system for biometric recognition using periocular images based on retinotopic sampling grids and Gabor analysis of the local power spectrum. A number of aspects are studied, including: 1) grid adaptation to dimensions of the target eye vs. grids of constant size, 2) comparison between circular- and rectangular-shaped grids, 3) use of Gabor magnitude vs. phase vectors for recognition, 4) rotation compensation between query and test images, and 5) comparison with an iris machine expert. Results show that our system achieves competitive verification rates compared with other periocular recognition approaches. We also show that top verification rates can be obtained without rotation compensation, thus allowing to remove this step for computational efficiency. Also, the performance is not affected substantially if we use a grid of fixed dimensions, or it is even better in certain situations, avoiding the need of accurate detection of the iris region. © 2012 Springer-Verlag.</p> region. © 2012 Springer-Verlag.</p>
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Author
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Fernando Alonso-Fernandez +
, Josef Bigun +
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Conference
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International Workshop “What's in a Face?” WIAF, in conjunction with the 12th European Conference on Computer Vision, ECCV 2012, Florence, Italy, 7-13 October, 2012
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DOI
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http://dx.doi.org/10.1007/978-3-642-33868-7_31 +
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:545741
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EndPage
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318 +
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HostPublication
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Computer Vision -- ECCV 2012 : Workshops and demonstrations : Florence, Italy, October 7-13, 2012, Proceedings. Part II +
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PublicationType
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Conference Paper +
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Publisher
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Springer +
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Series
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Lecture Notes in Computer Science ; 7584 +
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StartPage
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309 +
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Title
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Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
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Year
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2012 +
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Has queryThis property is a special property in this wiki.
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Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
, Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
, Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
, Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
, Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
, Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
, Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
, Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
, Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
, Publications:Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition +
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Projects +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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30 September 2016 20:40:41 +
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