Quality Measures in Biometric Systems

TL;DR

This paper reviews the importance of biometric quality, analyzing factors affecting it, and discusses methods to evaluate and improve biometric system performance in various challenging scenarios.

Contribution

It provides a comprehensive framework for understanding biometric quality issues and reviews current approaches to measure and enhance biometric system performance.

Findings

Identifies key factors impacting biometric quality

Reviews methods for assessing biometric signal quality

Discusses strategies to improve biometric system robustness

Abstract

Biometric technology has been increasingly deployed in the past decade, offering greater security and convenience than traditional methods of personal recognition. Although biometric signals' quality heavily affects a biometric system's performance, prior research on evaluating quality is limited. Quality is a critical issue in security, especially in adverse scenarios involving surveillance cameras, forensics, portable devices, or remote access through the Internet. This article analyzes what factors negatively impact biometric quality, how to overcome them, and how to incorporate quality measures into biometric systems. A review of the state of the art in these matters gives an overall framework for the challenges of biometric quality.