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- W86255712 abstract "Periocular recognition is an emerging field of research and people have experimented with some feature extraction techniques to extract robust and unique features from the periocular region. In this paper, we propose a novel feature extraction approach to use periocular region as a biometric trait. In this approach we first applied Local Binary Patterns (LBPs) to extract the texture information from the periocular region of the image and then applied Direct Linear Discriminant Analysis (DLDA) to produce discriminative low-dimensional feature vectors. The approach is evaluated on the UBIRIS v2 database and we achieved 94% accuracy which is a significant improvement in the performance of periocular recognition." @default.
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- W86255712 date "2012-01-01" @default.
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- W86255712 title "Periocular Feature Extraction Based on LBP and DLDA" @default.
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- W86255712 doi "https://doi.org/10.1007/978-3-642-30157-5_101" @default.
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