… The FFF algorithm fuses the palmprint and the finger knuckle features by developing the
optimal weight score through the optimization technique. The FFF algorithm is the combination …

Contactless 3D finger knuckle is an emerging biometric … mass distributions of the encoded
feature space. Our proposed … publicly available database of 3D finger knuckle. In addition, we …

… a feature learning approach for encoded discriminative direction features for finger knuckle
… that the proposed method outperforms other Finger knuckle image identification algorithms, …

… The final product from this research is a finger knuckle … algorithms for the finger knuckle
detection, image pre-… finger knuckle images are used to encode finger knuckle pattern …

… due to its stability, feature richness, reliability and … on Finger Knuckle Print (FKP) and
Palmprint. In particular, the PCANet deep learning method is employed to extract distinctive features …

… new feature descriptor for matching 3D finger knuckle patterns and attempts to estimate the
uniqueness of the 3D finger knuckle … in [20] and optimized the parameters for achieving best …

… This paper proposes a novel efficient descriptor for finger knuckle print (FKP) identification.
… obtaining reliable features as gradient values that are merged with local features could offer …

… has been applied in Finger-Knuckle-Print (FKP) … feature vectors of the real image and the
imaginary image respectively. These feature vectors have been jointed to form a large feature …

… PolyU fingerknuckle-print database of 8000 images collected from 165 subjects. Our results
demonstrate the discriminative ability of transformed knuckle features (… can be optimized by …

… this paper introduces a new method for extracting finger knuckle print and fingernail regions,
… depicts various finger poses which also have deformities in the nail and knuckle patterns. In …