Biometric Iris Recognition Based on Hybrid Technique

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 the image capturing, enhancement and identification. Different types of edge detection mechanisms; the Canny scheme, Prewitt scheme, Roberts scheme, and Sobel scheme are used to detect iris boundaries in the eye's digital image. The implemented system gives adequate results via different types of iris images.