Eye Detection by Complex Filtering for Periocular Recognition
2014 (English)In: 2nd International Workshop on Biometrics and Forensics (IWBF2014): Valletta, Malta (27-28th March 2014), Piscataway, NJ: IEEE Press, 2014Conference paper (Refereed)
We present a novel system to localize the eye position based on symmetry filters. By using a 2D separable filter tuned to detect circular symmetries, detection is done with a few ID convolutions. The detected eye center is used as input to our periocular algorithm based on retinotopic sampling grids and Gabor analysis of the local power spectrum. This setup is evaluated with two databases of iris data, one acquired with a close-up NIR camera, and another in visible light with a web-cam. The periocular system shows high resilience to inaccuracies in the position of the detected eye center. The density of the sampling grid can also be reduced without sacrificing too much accuracy, allowing additional computational savings. We also evaluate an iris texture matcher based on ID Log-Gabor wavelets. Despite the poorer performance of the iris matcher with the webcam database, its fusion with the periocular system results in improved performance. ©2014 IEEE.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2014.
Biometrics, periocular, eye detection, symmetry filters
IdentifiersURN: urn:nbn:se:hh:diva-24627DOI: 10.1109/IWBF.2014.6914250ISBN: 978-1-4799-4370-8ISBN: 978-1-4799-4370-14OAI: oai:DiVA.org:hh-24627DiVA: diva2:697661
IWBF 2014 – 2nd International Workshop on Biometrics and Forensics 2014, Valletta, Malta, 27-28th March, 2014
FunderSwedish Research Council, 2012-4313
F. A.-F. thanks the Swedish Research Council and the EU for for funding his postdoctoral research. Authors acknowledge the CAISR program of the Swedish Knowledge Foundation, the EU BBfor2 project and the EU COST Action IC1106.2014-02-182014-02-182015-09-29Bibliographically approved