Advancements in Iris Recognition: WAHET-CNN Framework for Accurate Segmentation and Pattern Classification
DOI:
https://doi.org/10.4108/eetcasa.v9i1.3708Keywords:
iris recognition, periocular recognition, iris segmentation, iris biometric, personal identificationAbstract
Biometric and identification patterns have gained extensive research and application, particularly in iris recognition. The iris harbors a wealth of individual-specific information, making it a vital element in biometric authentication. This article presents a comprehensive study encompassing iris segmentation and identification. We introduce the Weighted Adaptive Hough Ellipsopolar Transform Convolutional Neural Network (WAHET-CNN) as a novel approach for classifying pattern images. Our experimental outcomes demonstrate a commendable 90% accuracy achieved by the proposed WAHET-CNN on the CASIA dataset Version 4.
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