Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/4977
Title: | Biometric Iris Recognition Based on Hybrid Technique |
Authors: | Alheeti, Khattab |
Keywords: | Iris Recognition Biometrics Recognition Wavelet Technology Hybrid Technique and Feature Extraction |
Issue Date: | Nov-2011 |
Abstract: | Iris 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. |
URI: | http://localhost:8080/xmlui/handle/123456789/4977 |
Appears in Collections: | قسم الشبكات |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.