Iris Recognitions Identification and Verification using Hybrid Techniques
الباحث الأول:
Ban Jaber Adnan Al!Juburi
الباحثين الآخرين:
Professor Hind Rustum Mohammed and Assad Noori Hashim Al!Shareefi
المجلة:
Research Journal of Applied Sciences, Engineering and Technology
تاريخ النشر:
None
مختصر البحث:
Abstract: The aim of this study is proposed a new IRS using hybrid methods. These methods used to extract
features of tested eye images. Gabor wavelet and Zernike moment used to extract features of iris. Canny edge
detection and Hough transform…
Abstract: The aim of this study is proposed a new IRS using hybrid methods. These methods used to extract
features of tested eye images. Gabor wavelet and Zernike moment used to extract features of iris. Canny edge
detection and Hough transform used to determine the iris. The proposed system tested on CASIA!v4.0 interval
database. The results show that the proposed method having good accuracy about 97%. PSNR applied on the
training and testing iris image to measure the simmilarity between them. PSNR is support the proposed system
where, highest value of PSNR for the tesed image dells with the image is belong to the same person in training
database.