Multimodal Security of Iris and Fingerprint with Bloom Filters

TL;DR

This paper proposes a novel biometric security system that combines iris and fingerprint features using Bloom filters and feature fusion to enhance the protection of biometric templates against data loss and misuse.

Contribution

It introduces a new method of securing iris templates by integrating Bloom filters with feature-level fusion of iris and fingerprint biometrics.

Findings

Bloom filters effectively protect biometric templates

Feature fusion enhances security and robustness

Proposed system reduces risk of data theft

Abstract

The standard methods of identification such as PIN Numbers (Personal Identification Number), Passwords, smart cards can be easily stolen and can be misused easily. To overcome this, biometric is introduced, as it will be unique to each individual. In this modern world, security has become a serious threat. So many biometric securities have also come up to secure. In biometrics, the iris has become more popular and widely used biometric because of its stability. This iris is researched for the past two decades along with computer technology. This paper will tell about basic concepts of iris, fingerprint, and securing iris with Cancellable Biometrics. Often we get iris templates and store in server or database. There is a chance of losing the data as well as security is a big question here. Here we are proposing a system for protecting iris templates using bloom filters with feature fusion of iris with fingerprint to provide security. Bloom filters are a useful asset in the fields of computer science. In feature-level fusion, the function units originating from more than one biometric assets are consolidated into a single feature set by the appliance of acceptable feature standardization, transformation, and reduction schemes. We can combine bloom filters with feature level fusion for more secure iris templates.