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Biometric Recognition Using Periocular Images
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-1400-346X
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-4929-1262
2013 (engelsk)Konferansepaper, Publicerat paper (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
2013.
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Identifikatorer
URN: urn:nbn:se:hh:diva-21552OAI: oai:DiVA.org:hh-21552DiVA, id: diva2:607423
Konferanse
Swedish Symposium on Image Analysis 2013 (SSBA 2013), Gothenburg, Sweden, 14-15 March, 2013
Prosjekter
BBfor2
Forskningsfinansiär
EU, FP7, Seventh Framework Programme, 254261Swedish Research Council, 2009-7215Knowledge FoundationTilgjengelig fra: 2013-02-22 Laget: 2013-02-22 Sist oppdatert: 2018-03-22bibliografisk kontrollert

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