A Study on Biometrics and Machine Learning

The creation of remote access templates using biometric technologies can ensure the security of access while also protecting and customizing user information. Biometric systems are frequently employed in conjunction with the earlier authentication techniques to boost security, which is thought to be a desirable option. It is the measurement of an individual’s unique physical or behavioral characteristics as a means of identifying or verifying their identity. Fingerprints, hand shape, retina, iris, or facial features are common physical biometrics. While some technologies are gaining more acceptance than others, there is no doubt that the access control and biometric systems has great potential for application in end-user segments, such as airports, offices, defense installations, etc. In this paper, we analyze the opportunities and challenges of using biometrics and machine learning as well as the ethical considerations that must be made when using these technologies.