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Biometric Recognition Using Periocular Images
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-1400-346X
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4929-1262
2013 (English)Conference paper, Published paper (Other academic)
Abstract [en]

We present a new system for biometric recognition using periocular images based on retinotopic sampling grids and Gabor analysis of the local power spectrum at different frequencies and orientations. 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, and 4) rotation compensation between query and test images. 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.

Place, publisher, year, edition, pages
2013.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-21552OAI: oai:DiVA.org:hh-21552DiVA: diva2:607423
Conference
Swedish Symposium on Image Analysis 2013 (SSBA 2013), Gothenburg, Sweden, 14-15 March, 2013
Projects
BBfor2
Funder
EU, FP7, Seventh Framework Programme, 254261Swedish Research Council, 2009-7215Knowledge Foundation
Available from: 2013-02-22 Created: 2013-02-22 Last updated: 2017-09-27Bibliographically approved

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CiteExportLink to record
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