A comparative study of palmprint recognition algorithms
Palmprint images contain rich unique features for reliable human identification, which makes
it a very competitive topic in biometric research. A great many different low resolution …
it a very competitive topic in biometric research. A great many different low resolution …
Palmprint recognition algorithm with horizontally expanded blanket dimension
X Guo, W Zhou, Y Wang - Neurocomputing, 2014 - dl.acm.org
As an emerging biometric technology, palmprint recognition has been extensively
researched due to its easy collection, user friendliness, high verification accuracy and …
researched due to its easy collection, user friendliness, high verification accuracy and …
Score-level fusion of two-dimensional and three-dimensional palmprint for personal recognition systems
M Chaa, NE Boukezzoula… - Journal of Electronic …, 2017 - spiedigitallibrary.org
Two types of scores extracted from two-dimensional (2-D) and three-dimensional (3-D)
palmprint for personal recognition systems are merged, introducing a local image descriptor …
palmprint for personal recognition systems are merged, introducing a local image descriptor …
[PDF][PDF] Palmprint recognition system based on proposed features extraction and (c5. 0) decision tree, k-nearest neighbour (knn) classification approaches
In the biometrics research area, palmprint recognition system is gaining the most popularity.
Significant performances have been achieved in the state-of-the-art palmprint recognition …
Significant performances have been achieved in the state-of-the-art palmprint recognition …
Shift and gray scale invariant features for palmprint identification using complex directional wavelet and local binary pattern
M Mu, Q Ruan, S Guo - Neurocomputing, 2011 - Elsevier
In this paper, a novel feature extraction framework is presented for palmprint identification,
which provides a shiftable and gray scale invariant description of image achieving high …
which provides a shiftable and gray scale invariant description of image achieving high …
Palmprint recognition with improved two-dimensional locality preserving projections
X Pan, QQ Ruan - Image and Vision Computing, 2008 - Elsevier
Recently, two-dimensional locality preserving projections (2DLPP) was proposed to extract
features directly from image matrices based on locality preserving criterion. Though 2DLPP …
features directly from image matrices based on locality preserving criterion. Though 2DLPP …
Combining modified LBP and weighted SRC for palmprint recognition
S Zhang, H Wang, W Huang, C Zhang - Signal, Image and Video …, 2018 - Springer
In order to extract invariant features in the palmprint transformation of scale, rotation and
affine distortion, a coarse-to-fine palmprint recognition method is proposed by combining the …
affine distortion, a coarse-to-fine palmprint recognition method is proposed by combining the …
Multiscale multidirection binary pattern learning for discriminant palmprint identification
Binary pattern learning has been achieved promising recognition performance in palmprint
identification. However, most of direction representation-based methods are hand-crafted …
identification. However, most of direction representation-based methods are hand-crafted …
Multiview-learning-based generic palmprint recognition: A literature review
Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …