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Relevant features for Gender Classification in NIR Periocular Images
In this work, we analyze and demonstrate the location of the most relevant features that describe gender in periocular NIR images and evaluate its influence its classification.
Sex-Classification from Cell-Phones Periocular Iris Images
These results compare well with the state of the art and show that when improving image resolution with the SRCNN the sex-classification rate increases.
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