… Gabor features and Fourier transform coeącients as local and … their third work18 used the
local features of FKP images for … local features and at last combined them with a global feature. …

… feature extraction method for FKP recognition. The authors analyzed three commonly used
local features, the local orientation, the local … for computing all features efficiently using the …

… Perumal and Ramachandran [3] presented the local convex direction map of the finger
knuckle print (FKP) image for recognition. Then, the local features of the enhanced FKP were …

… on which a local coordinate system is established to align the images. In [13], both local and
… by the Gabor filters is treated as the local feature and by increasing the scale of Gabor filters …

… in the feature ex knuckle print .Here they proposed the use feature level fusion as a means
to improve th Finger Knuckle … Another approach for extracting fe knuckle are the two common …

… The local features such as local phase and local … , the feature vector of the finger knuckle
image is the Eigen vectors of the covariance matrix (Q). The features extracted from the knuckle …

… Combination of these local features and global features are used for knuckle print … to
capture the finger knuckle print images. The local convex direction map of the knuckle image is …

… These global and local features are based on time-frequency analysis which helps in
matching based on weighted average. Kelani Nithish [8] explains the convex direction map which …

… In [24], a set of phase congruency induced local features were defined. By fusing these local
features in the matching score level, the proposed local feature integration (LFI) scheme led …

… finger knuckle surface has been used in [5] for authentication by combining several global
feature … Local features such as robust line orientation code (RLOC) [6] and modified finite …