Impact of Occlusion Removal on PCA and LDA for Iris Recognition
نویسنده
چکیده
An iris recognition algorithm is implemented using morphological image processing, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). The suggested occlusion removal technique is implemented using erosion and dilation operators, and compared against a training set without occlusion removal and one that only keeps one half of the iris. The resulting comparison shows that occlusion removal does not have a significant impact on the iris recognition success rate, when using the PCA & LDA implementation.
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