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Table 3 A representative list of fingerprint quality assessment algorithms

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

Category

Algorithm

Description

Type

Pixel intensity

Chen et al.[44]

Grey level distributions of segmented ridges

Local

Wavelet transform

Vatsa et al.[45]

Combined response from RDWT for dominant edge information

Local

Power spectrum

Chen et al.[3]

In a ring-shaped region of the spectrum

Global

Combined features

NFIQ[46]

Amplitude, frequency, and variance of sinusoid to model valid ridges

Global

Orientation tensors

Fronthaler et al.[47]

Encode orientation with parabolic symmetry features

Global