Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4977
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dc.contributor.authorAlheeti, Khattab-
dc.date.accessioned2022-10-22T10:45:07Z-
dc.date.available2022-10-22T10:45:07Z-
dc.date.issued2011-11-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/4977-
dc.description.abstractIris Recognition is one of the important biometric recognition systems that identify people based on their eyes and iris. In this paper the iris recognition algorithm is implemented via histogram equalization and wavelet techniques. In this paper the iris recognition approach is implemented via many steps, these steps are concentrated on image capturing, enhancement and identification. Different types of edge detection mechanisms; Canny scheme, Prewitt scheme, Roberts scheme and Sobel scheme are used to detect iris boundaries in the eyes digital image. The implemented system gives adequate results via different types of iris images.en_US
dc.language.isoen_USen_US
dc.subjectIris Recognitionen_US
dc.subjectBiometrics Recognitionen_US
dc.subjectWavelet Technologyen_US
dc.subjectHybrid Technique and Feature Extractionen_US
dc.titleBiometric Iris Recognition Based on Hybrid Techniqueen_US
dc.typeArticleen_US
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