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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