Browse wiki
From ISLAB/CAISR
| Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection |
| Abstract | <p>Periocular recognition has gained … <p>Periocular recognition has gained attention recently due to demands of increased robustness of face or iris in less controlled scenarios. We present a new system for eye detection based on complex symmetry filters, which has the advantage of not needing training. Also, separability of the filters allows faster detection via one-dimensional convolutions. This system is used as input to a periocular algorithm based on retinotopic sampling grids and Gabor spectrum decomposition. The evaluation framework is composed of six databases acquired both with near-infrared and visible sensors. The experimental setup is complemented with four iris matchers, used for fusion experiments. The eye detection system presented shows very high accuracy with near-infrared data, and a reasonable good accuracy with one visible database. Regarding the periocular system, it exhibits great robustness to small errors in locating the eye centre, as well as to scale changes of the input image. The density of the sampling grid can also be reduced without sacrificing accuracy. Lastly, despite the poorer performance of the iris matchers with visible data, fusion with the periocular system can provide an improvement of more than 20%. The six databases used have been manually annotated, with the annotation made publicly available. © The Institution of Engineering and Technology 2015.</p>Engineering and Technology 2015.</p> |
|---|---|
| Author | Fernando Alonso-Fernandez + , Josef Bigun + |
| DOI | http://dx.doi.org/10.1049/iet-bmt.2014.0038 + |
| Diva | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:843044 |
| EndPage | 89 + |
| Issue | 2 + |
| Journal | IET Biometrics + |
| Projects | EU BBfor2 Marie Curie Initial Training Network "Bayesian Biometrics for Forensics";EU COST Action IC1106 "Integrating Biometrics and Forensics for the Digital Age" + |
| PublicationType | Journal Paper + |
| Publisher | Institution of Engineering and Technology + |
| StartPage | 74 + |
| Title | Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + |
| Volume | 4 + |
| Year | 2015 + |
| Has queryThis property is a special property in this wiki. | Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + , Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + , Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + , Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + , Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + , Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + , Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + , Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + , Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + , Publications:Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection + |
| Categories | Publication + |
| Modification dateThis property is a special property in this wiki. | 30 September 2016 20:40:25 + |
| hide properties that link here |
| No properties link to this page. |
