Hardware Implementation of Multimodal Biometric using Fingerprint and Iris

TL;DR

This paper presents a novel FPGA-based hardware architecture for a multimodal biometric system combining fingerprint and iris recognition, optimizing each trait at the software level before hardware implementation.

Contribution

It introduces the first FPGA-based hardware design integrating fingerprint and iris biometrics, exploiting parallelism for improved performance.

Findings

Hardware architecture leverages inherent parallelism

Optimized biometric traits reduce false acceptance and rejection

First FPGA implementation combining these two biometric modalities

Abstract

In this paper, a hardware architecture of a multimodal biometric system is presented that massively exploits the inherent parallelism. The proposed system is based on multiple biometric fusion that uses two biometric traits, fingerprint and iris. Each biometric trait is first optimised at the software level, by addressing some of the issues that directly affect the FAR and FRR. Then the hardware architectures for both biometric traits are presented, followed by a final multimodal hardware architecture. To the best of the author's knowledge, no other FPGA-based design exits that used these two traits.