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Table 1 Different interpretations of quality in biometrics from literature

From: Biometric quality: a review of fingerprint, iris, and face

Reference

Modality

Interpretation of quality in biometrics

Chen et al.[3]

Fingerprint

A global measure of the strength of ridges

Grother and Tabassi[4]

Fingerprint

Suitability for automatic matching

Youmaran and Adler[5]

Face

The decrease in uncertainty of identity due to a given sample

Kryszczuk et al.[6]

Face

Conditionally relevant class predictors

Beveridge et al.[7]

Face

A measurable and actionable predictor of performance

ISO/IEC standards[13]

Face

Biometric data that adheres to best capture practices

Kalka et al.[8]

Iris

The measurement of various degradations known to affect iris recognition

Kumar and Zhang[9]

Knuckles

Confidence of generating reliable matching scores from the user templates

Poh and Kittler[10]

General framework

Degree of extractability of recognition features

BioAPI[14]

General framework

Biometric data that provides good performance for the intended purpose