Abstract
Ocular biometrics is a promising research field owing to factors such as recognition at a distance and suitability for recognition with regular RGB cameras, especially on mobile devices. The authors provide a review of ocular databases available in the literature and discuss diversities among these databases, design and parameter consideration issues during acquisition of databases, and selection of appropriate databases for experimentation.
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