mlsanityData to 7 Oct 2026

Quality Measures in Biometric Systems

arXiv 2111.08704 ↗First posted 17 Nov 2021cs.CV cs.CRcited by 12

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Abstract (arXiv)

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.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 1 of its 34 references that are in the map. First posted on arXiv 17 Nov 2021.

Builds on

1 of 34 references.

References · 1

  1. 2021A Comparative Study of Fingerprint Image-Quality Estimation Methodscited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 6; 2023: 2; 2024: 0; 2025: 2; 2026: 2.

12 papers.