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Published in:
2012 | OriginalPaper | Chapter
Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition
Authors : Fernando Alonso-Fernandez, Josef Bigun
Published in: Computer Vision – ECCV 2012. Workshops and Demonstrations
Publisher: Springer Berlin Heidelberg
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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.