Table 4 Overview on selected recognition workflows with biometric performance
Authors | Year | Device | Processing | Accuracy |
|---|---|---|---|---|
Noh et al. [16] | 2011 | Industrial camera (rotating) | Gabor-filter, analysis of useful area, deformation correction, ridge-line thinning | EER = 1.9% (thumb)–8.6% (little finger) |
Raghavendra et al. [18] | 2014 | Industrial camera | ROI extraction, rotation correction, spectral minutiae representation | EER = 6.63% |
Tiwari et al. [43] | 2015 | Smartphone (indoor) | Adaptive histogram equalization, SURF features, nearest neighbors | EER = 3.33% |
Sankaran et al. [32] | 2015 | Smartphone (indoor and outdoor) | Median filtering, histogram equalization, unsharp masking, scattering network | EER = 3.56% |
Carney et al. [33] | 2017 | Smartphone | Band-pass filter, local histogram normalization, commercial feature extraction and comparison | FAR = 0.01% @ FRR = 1% |