]> 2026-04-05T01:26:38+02:00 Publications:Biometric Recognition Using Periocular Images 500 en <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 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.</p> Swedish Symposium on Image Analysis 2013 (SSBA 2013), Gothenburg, 14-15 March http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:607423 Conference Paper Biometric Recognition Using Periocular Images 2013 2016-09-30T20:41:14Z 2457662.3619676 Biometric Recognition Using Periocular Images 500 0 plainlist list 1 [[:Publications:Biometric Recognition Using Periocular Images]] Biometric Recognition Using Periocular Images# QUERYe96b8f3f8347b5765c2ed224feac6748 500 [2,"smw-datavalue-property-restricted-annotation-use","Author"] Biometric Recognition Using Periocular Images# ERRe24f17e090c98448f3de99d03182b7b6