Iris Recognitions Identification and Verification using Hybrid Techniques
Ban Jaber Ednan Al-Juburi, Professor Hind Rustum Mohammed, Assad Noori Hashim Al-Shareefi · Research Journal of Applied Sciences Engineering and Technology · 2017
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.