… -growing algorithm to extract the palmprint local orientations, then detect minutiae and, in …
between two palmprints by means of a weighted sum of minutiae and orientation field matching …

… vector generated from the set of junction points represent the position and orientation
information of junction points and has accomplished a lower error rate than the existing line-based …

… -the-art palmprint verification algorithms and their feature extraction and matching metrics.
After analyzing the two distance metrics, we proposed a unified distance for orientation-based …

… [14] proposed a multilevel matcher that uses a fixed score-level combination scheme to
integrate 2D orientation features and 3D curvature features for improving performance. For 3D …

… Based Features In our CR-based 3D palmprint identification … represented as a feature vector
and for feature extraction we … D palmprint recognition with joint line and orientation features…

… is evaluated utilizing unique fingerprint orientation extraction approach and local … ridge
orientation. Minutiae feature is extricated in feature extraction stage. To remove the minutiae …

… palmprint classification and orientation field. This paper proposes an efficient algorithm to
locate the Special Areas on offline palmprint, … approach to modify the orientation field based on …

… on pixel level and the orientation of a pixel ranges from 1 … orientation: 1) Main Orientation
(MO): In a palmprint block Iij, the Main Orientation of block Iij MO(Iij) is defined as the orientation …

… extract local ridge orientation and ridge period features for minutiae in palmprint images. Given
… The feature value of orientation descriptor at each sample point is the difference between …

… ) denotes the offset and the orientation respectively. Offset represents the distance between
the interested neighborhood pixels and orientation represents the angle between interested …