Robust Multi-Bio-Metric Authentication Framework in Face and Iris recognition

Abstract

Compared to more traditional methods of verification, Bio-metric systems provide a greater level of safety for a wider range of uses (like pin, passwords etc.). “Bio-metric systems have broad social and practical applications. Among them include authentication for computers, attendance tracking for businesses, financial transactions, safeguarding private information, controlling access to buildings and airports, and so on. A person’s identity may be confirmed via the use of both their physical characteristics and their behavioural patterns thanks to the bio-metric system. Bio-metric systems and their effects on modern society are discussed in this article. While single-trait bio-metric user identification is widely utilised at the moment, it does not offer sufficient authentication for highly secure applications. To solve these issues, researchers have developed multi-modal bio-metric systems. User authentication in a multi-modal bio-metric system may be based on a wide variety of factors, including both physical and behavioural characteristics. Additionally, age, height, hair colour, eye colour, gender, and other “soft” bio-metric features are also employed. Even the most subtle Bio-metric methods aren’t without their flaws. Soft bio-metric iris and facial features were used to create the algorithm for the paper work multi-modal bio-metric system.: The research presented in this article enhances user authentication and security without sacrificing speed.