… A large variety of biometric modalities including face, iris, gait, and palmprint … palmprint
based biometric security due to its high reliability, stability, and user acceptability. A palmprint is …

… We propose a new and effective palmprint recognition method based on RSM. This ensemble
learning technique proves more efficiency than individual classifiers [25], [42] and was …

… For each class, BLOTSDF filter can form multiple training sample … technologies based on
correlation filter. Because BLOTSDF … MFRAT accumulates the pixel values of line segments …

… the most advanced contact and contactless palmprint … palmprint recognition. It refers to the
transformation and key point positioning of different palmprint images, and the segmentation …

… palm specific features and they must be prepared in a supervised learning procedure [12]. …
segmentation stage in advance to perform precise pattern recognition and classifications. On …

… Palmprint classification using multiple ad- vanced correlation filters and palm-specific
segmentation… IEEE Transactions on Information Forensics and Security, 2(3), 613-622. doi: …

… palmprints, we use the Bèzier curves to parameterize the palmar creases. Specifically, we
use several … For simplicity, we use second-order Bèzier curves with three parametric points in …

… experiment with the well-known IIT Delhi Palmprint Image Database version 1.0. The results
… length of the segments between the vertices of the polygon, and the angles at the vertices. …

… For carrying out the experiment, IIT Delhi Palmprint Image Database [5] palm image database
was used, the use of which the authors received permission. Images were selected with a …

… also been applied for palmprint recognition. An optimal … ) filter [50] and band-limited
phase-only correlation filter (BLPOC) [51] are correlation methods that are also used for palmprint …