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Iris Spoof Detection Using LBP and Adaboost by hamintori is a document available to read on EtoBox.

What is Iris Spoof Detection Using LBP and Adaboost about?

1) The document proposes an efficient method for iris spoof detection based on analyzing textural differences between live and counterfeit iris images. 2) It divides the iris image into sub-regions and extracts local binary patterns (LBP) features from each to represent the texture. 3) An AdaBoost algorithm is used to select the most discriminative LBP features for classification and spoof detection. The method aims to improve over previous hardware-based and texture analysis-based approaches.

Author

hamintori

Language

EN