… and feature descriptors … local information, non-local information and class information
together [1]. Using the Principal Components Analysis (PCA) subspace method, knuckle features …

… finger knuckle is highly distinctive, in this paper we present a new biometric authentication
system using finger-knuckle-… exploit the finger knuckle texture information in feature extraction. …

… on FOK dataset of type Indian Institute of Technology Delhi Finger Knuckle (IITDFK). The
major feature of just middle finger has been considered. The best identification accuracy is …

… [32] propose a strategy for improved performance by simultaneously extracting and
incorporating geometric and texture features of the finger knuckle by score level fusion on the entire …

… biometrics trait named finger knuckle (FK) for authentication. Finger Knuckle has unique
bending … The local features namely local orientation, local phase, and phase congruency are …

… finger, has high discriminability, making it an emerging promising biometric identifier. Effective
feature … This chapter studies image local features induced by the phase congruency model…

… Orientation feature derived by steerable filters is continuous, Fig. 1 (a) shows a typical … its
local feature orientation map is shown in (b). Directly using of the continuous orientation feature …

… A new database from 221 different subjects' contactless finger knuckle images is also … to
recognize finger knuckle with different poses. Spatial and spectral domain features can provide …

… the biometric features with sufficient uniqueness for identity recognition is the finger knuckle
… and verification based on FKP features, where feature extraction is combined with an entropy…

… The local orientation extracted by the Gabor filters is taken as the local feature while the
Fourier coefficients are taken as a global feature. Zahra and Faez3 used another approach to …