… same method is applied, on finger test image, for extract the feature vector and then it uses
as an input to the SVM classifier in order to find the person which own the same test finger. …

… This section provides detailed analysis of various performances for these existing SVM
classifiers. Besides Proposed algorithm is compared with methods in terms of Region of Interest (…

… by combining the finger knuckle and finger vein images at … like finger knuckle and finger
vein are unique and secure. Initially, the features are extracted from the finger knuckle and finger …

… finger knuckle images has been proposed. Figure 1 shows the block diagram of the proposed
HE-Co-HOG and k-SVM classifier with the FFF algorithm. … and the finger knuckle images. …

… the different modalities (different fingers). Furthermore, the feature … Support Vector Machine
(SVM) based learning algorithm is … of HOG technique and SVM classifier. Section 4 deals with …

… Support Vector Machine are proposed as verifiers. A similar equal error rate of 0.094 is
reached by both classifiers … focusing the sensor on the knuckle of the hart finger. The subject is …

… proposed for combining the finger vein, fingerprint and the finger-knuckle-print. This experiment
is based on the unimodal decisions obtained by different classifier KNN, SVM. For fusing …

… In this paper, we proposed a novel finger knuckle pattern (FKP) based … ) classifier. The
presented approach is completely data-driven and fully automatic. However, the DRB classifier is …

… a standard classifier in AlexNet, VGG16, ResNet50 model etc. SVM classifier was used as
… In this work, Softmax and multi-class SVM are applied to classify the FKP and FV features in …

… The algorithm was performed using output measurement … 14 finger joints within a hand as
5 metacarpophalangeal joints; 4 proximal interphalangeal joints, 4 distal interphalangeal joints…