… surface around the phalangeal joint of one’s finger, has high capability to discriminate different
… , the local convex direction map of the FKP image is extracted. Then, the local features of …

… and junction features in finger back surface. In palmprint recognition [4-6], the features used
for … Actually, the outer surfaces of finger joints have even more obvious line features than the …

… a novel approach for finger knuckle print using Compound Local Binary Pattern (CLBP). …
systems with using local features. So, to prove the effectiveness of FKP features, we need to …

… These results using local feature descriptors achieve outperforming results and is
reasonable to incorporate such approach as a baseline to ascertain performance from 2D …

… finger knuckle local features that has been preprocessed by using ROI extraction, enhancement
and proposed feature … -rigid regions between finger knuckle images. The experimental …

… Although more work remains, our results to date indicate that the combination of finger-knuckle
and finger-geometry features constitutes a promising addition to the hand-based …

… local features for finger-knuckleprint recognition Pattern Recognit. 45(7) 2522-2531 [3] Stan
ZL and Anil J 2009 Encyclopedia of Biometrics (Berlin: Springer) [4] Zhang L and Zhang D …

… take Gabor feature as the basic feature for finger knuckle print … Finally, the minor feature
speeded-up robust feature is … In [10], local features of the enhanced finger knuckle print image …

… The authors conducted a thorough examination of three often utilized local features: local
orientation, local phase, and phase congruency. In addition, they developed a method for …

… extraction scheme [45], the local orientation extracted by Gabor filters is taken as the
local feature while the Fourier coefficients are taken as a global feature. …