DocumentCode :
260674
Title :
Eye detection by complex filtering for periocular recognition
Author :
Alonso-Fernandez, Fernando ; Bigun, Josef
Author_Institution :
Halmstad Univ., Halmstad, Sweden
fYear :
2014
fDate :
27-28 March 2014
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
Gabor filters; image matching; image texture; iris recognition; object detection; wavelet transforms; 2D separable filter; Gabor analysis; ID convolution; ID log-Gabor wavelets; NIR camera; Web-cam; circular symmetry; complex filtering; eye detection; eye position; iris texture matcher; local power spectrum; periocular algorithm; periocular recognition; retinotopic sampling grids; symmetry filter; visible light; Accuracy; Biomedical imaging; Databases; Face; Iris; Iris recognition; Webcams; Biometrics; eye detection; periocular; symmetry filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics and Forensics (IWBF), 2014 International Workshop on
Conference_Location :
Valletta
Type :
conf
DOI :
10.1109/IWBF.2014.6914250
Filename :
6914250
Link To Document :
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