Iris Biometrics for Secure Authentication
Abdullah Alshehri, Tyler Daws, Soundararajan Ezekiel · International Journal of Machine Learning and Computing · 2020
Identification of individuals based on behavior or biology is known as biometrics.A recent and widely used development in the field of biometrics is iris recognition for identification.The average iris recognition algorithm requires taking an image of the iris, then testing and segmenting the image.This is commonly achieved through both statistical and classical techniques.Every method has strengths and weaknesses.In this proposal, we present a novel iris recognition approach.The objective of our study is to create a technique for accessing computers and computer networks.Due to widespread use of computers in many forms (desktop, handheld, etc.) our technique offers valuable security for information.This wavelet-based algorithm will be capable of enhancing the scanned image, reducing noise, and extracting important elements of the picture to check against data within a database.Additionally, our method may be generalized to a variety of applications including surveillance, e-commerce, ATM transactions, and others.