A survey on periocular biometrics research-Reference-Cited by-同舟云学术

A survey on periocular biometrics research

Published:2016-10 Issue: Volume:82 Page:92-105
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Alonso-Fernandez Fernando,Bigun Josef

Funder

Swedish Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference88 articles.

1. Genetic-based type ii feature extraction for periocular biometric recognition: less is more;Adams,2010

2. Periocular recognition using retinotopic sampling and gabor decomposition;Alonso-Fernandez,2012

3. Best regions for periocular recognition with NIR and visible images;Alonso-Fernandez,2014

4. Eye detection by complex filtering for periocular recognition;Alonso-Fernandez,2014

5. Near-infrared and visible-light periocular recognition with gabor features using frequency-adaptive automatic eye detection;Alonso-Fernandez;IET Biometrics,2015

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