… knuckle features… finger knuckle features (extracted by nondecimated QWT [ND-QWT] with
BSA + 2D 2 LDA) are fused together using rank fusion, because BSA selects optimum features …

… study, the optimized features determine the linear and nonlinear properties of finger knuckle
… the low-level and high-level feature vectors. The performance metrics confirm that the …

… The fusion of this feature vector is optimized using … the feature vector of the finger knuckle
image is the Eigen vectors of the covariance matrix (Q). The features extracted from the knuckle …

… finger knuckle recognition problem by developing a more efficient matching approach using
surface key points extracted from 3D finger knuckle … is on 3D finger knuckle recognition, we …

… finger have been considered for research purposes. Out of the five fingers of a hand, knuckles
from index and middle fingers … of more than one finger knuckle. We use HongKong PolyU …

… , this work optimize the features number and reduce the space for recognition by only vectors
of 105 attributes. Based on the obtained results, we can guarantee more optimized security …

… feature selection using the t-norms in the literature. In this paper we address the problem of
feature selection on the finger knuckle … feature selection based on Ant Colony Optimization is …

… 3D finger knuckle pattern is a new biometric identifier which offers highly discriminative
features for the finger knuckle … specialized hand-crafted feature description approaches for the …

… In hand-based biometrics, finger knuckle surface is considered as one of the emerging …
outer surface of the finger back knuckle region. Further, this finger knuckle has a high potentiality …

… By contrast, finger-knuckle-print (FKP) is widely deemed an … The research on finger knuckles
began in 2004, and most … filters to extract features from the finger knuckle images. However, …