Abstract
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<p>Periocular recognition has gained … <p>Periocular recognition has gained attention in the last years thanks to its high discrimination capabilities in less constraint scenarios than face or iris. In this paper we propose a method for periocular verification under different light spectra using CNN features with the particularity that the network has not been trained for this purpose. We use a ResNet-101 pretrained model for the ImageNet Large Scale Visual Recognition Challenge to extract features from the IIITD Multispectral Periocular Database. At each layer the features are compared using χ 2 distance and cosine similitude to carry on verification between images, achieving an improvement in the EER and accuracy at 1% FAR of up to 63.13% and 24.79% in comparison to previous works that employ the same database. In addition to this, we train a neural network to match the best CNN feature layer vector from each spectrum. With this procedure, we achieve improvements of up to 65% (EER) and 87% (accuracy at 1% FAR) in cross-spectral verification with respect to previous studies.</p>ith respect to previous studies.</p>
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Author
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Kevin Hernandez-Diaz +
, Fernando Alonso-Fernandez +
, Josef Bigun +
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Conference
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Swedish Symposium on Image Analysis, SSBA, Gothenburg, Swede), March 19-20, 2019
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1353941
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PublicationType
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Conference Paper +
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Title
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Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
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Year
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2019 +
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Has queryThis property is a special property in this wiki.
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Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
, Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
, Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
, Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
, Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
, Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
, Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
, Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
, Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
, Publications:Cross-Spectral Biometric Recognition with Pretrained CNNs as Generic Feature Extractors +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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10 October 2019 20:22:42 +
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