Abstract
Nowadays security and authentication are the major parts of our daily life. Iris is one of the most reliable organ or part of human body which can be used for identification and authentication purpose. To develop an iris authentication algorithm for personal identification, this paper examines two edge detection techniques for iris recognition system. Between the Sobel and the Canny edge detection techniques, the experimental result shows that the Canny's technique has better ability to detect points in a digital image where image gray level changes even at slow rate.
Highlights
Iris recognition system mainly includes eye image capturing, image pre-processing and edge detection through iris region segmentation, feature extraction and pattern matching
The segmentation method first uses wavelet transform and different integral operator is used for localizing the iris [5]
A new noise removing approach is introduced based on the fusion of edge and region information
Summary
Iris recognition system mainly includes eye image capturing, image pre-processing and edge detection through iris region segmentation, feature extraction and pattern matching. A new noise removing approach is introduced based on the fusion of edge and region information In this case, whole procedure includes three steps namely, rough localization and normalization, edge information extraction based on phase congruency, and the infusion of edge and region information [6]. Whole procedure includes three steps namely, rough localization and normalization, edge information extraction based on phase congruency, and the infusion of edge and region information [6] Another segmentation method is introduced based on integro-differential operators and Hough transforms [7]. 2. Methodology Edge detection is divided into three main steps: image pre-processing, feature extraction of iris image and template matching. The Sobel edge detection, the operator uses two 3×3 matrix kernels which are convolved with the original image to calculate the approximations of the derivatives. Original image collected from CASIA database [11]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
