Advancements in Iris Recognition: WAHET-CNN Framework for Accurate Segmentation and Pattern Classification

Biometric and identification patterns have gained extensive research application, particularly in iris recognition. The harbors a wealth of individual-specific information, making it vital element biometric authentication. This article presents comprehensive study encompassing segmentation identification. We introduce the Weighted Adaptive Hough Ellipsopolar Transform Convolutional Neural Network (WAHET-CNN) as novel approach for classifying pattern images. Our experimental outcomes demonstrate commendable 90% accuracy achieved by proposed WAHET-CNN on CASIA dataset Version 4.