IJCATR Volume 4 Issue 5

Human Iris Recognition Using Linear Discriminant Analysis Algorithm

Gafar Zen Alabdeen Salh Abdelmajid Hassan Mansour Elnazier Abdallah Mohammed
10.7753/IJCATR0405.1013
keywords : linear discriminant analysis, iris recognition, Biometrics, False Rejection Rate, False Acceptance Rate

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The paper holding a presentation of a system, which is recognizing peoples through their iris print and that by using Linear Discriminant Analysis method. Which is characterized by the classification of a set of things in groups, these groups are observing a group the features that describe the thing, and is characterized by finding a relationship which give rise to differences in the dimensions of the iris image data from different varieties, and differences between the images in the same class and are less. This Prototype proves a high efficiency on the process of classifying the patterns, the algorithms was applied and tested on MMU database, and it gives good results with a ratio reaching up to 74%.
@artical{g452015ijcatr04051013,
Title = "Human Iris Recognition Using Linear Discriminant Analysis Algorithm",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "4",
Issue ="5",
Pages ="395 - 404",
Year = "2015",
Authors ="Gafar Zen Alabdeen Salh Abdelmajid Hassan Mansour Elnazier Abdallah Mohammed "}
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