Security System Enhancement using Iris Scan Biometric Technology for ATM Machine

Abstract

Banking is currently very simple, however there are often many opportunities for cybercrime. Numerous banking transactions have been the victim of fraud. Concerns around consumer security and privacy have always revolved around authentication and verification. It is challenging to uphold the integrity and authenticity of people in the ever-shifting environment. On how to combat ATM fraud, many ideas and recommendations have recently been put out. We need some trustworthy security findings that we can utilize in conjunction with the current technologies to combat all of these frauds. One of the technologies that we can use in conjunction with the existing technology is biometrics. Combining related technology may help to decrease ATM fraud and hence increase the security of other financial transactions. This essay offers an overview of important iris recognition studies. An iris identification system goes through three main phases: template matching, point birth, and picture preprocessing. The most popular algorithms used in each stage are reviewed in the literature.