Biometrics recognition using deep learning: A survey
In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
A constructive hybrid structure optimization methodology for radial basis probabilistic neural networks
DS Huang, JX Du - IEEE Transactions on neural networks, 2008 - ieeexplore.ieee.org
In this paper, a novel heuristic structure optimization methodology for radial basis
probabilistic neural networks (RBPNNs) is proposed. First, a minimum volume covering …
probabilistic neural networks (RBPNNs) is proposed. First, a minimum volume covering …
Person recognition by fusing palmprint and palm vein images based on “Laplacianpalm” representation
Unimodal analysis of palmprint and palm vein has been investigated for person recognition.
One of the problems with unimodality is that the unimodal biometric is less accurate and …
One of the problems with unimodality is that the unimodal biometric is less accurate and …
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network
L Shang, DS Huang, JX Du, CH Zheng - Neurocomputing, 2006 - Elsevier
This paper proposes a novel and successful method for recognizing palmprint based on
radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by …
radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by …
Palmprint-palmvein fusion recognition based on deep hashing network
Palmprint has attracted increasing attention due to its several advantages in the biometrics
field. Deep learning has achieved remarkable performance in the computer vision area, so a …
field. Deep learning has achieved remarkable performance in the computer vision area, so a …
Deep learning-driven palmprint and finger knuckle pattern-based multimodal Person recognition system
Biometric recognition systems are widely being used in several applications due to its
distinctiveness and reliability. In recent years, hand-based person recognition has received …
distinctiveness and reliability. In recent years, hand-based person recognition has received …
Palmprint verification based on 2D–Gabor wavelet and pulse-coupled neural network
X Wang, L Lei, M Wang - Knowledge-Based Systems, 2012 - Elsevier
To alleviate the limitation that the recent texture based algorithms for palmprint recognition
yield unsatisfactory robustness to the variations of orientation, position and illumination in …
yield unsatisfactory robustness to the variations of orientation, position and illumination in …
A Comprehensive Review on Sparse Representation and Compressed Perception in Optical Image Reconstruction
J Yi, H Jiang, X Wang, Y Tan - Archives of Computational Methods in …, 2024 - Springer
This review explores the integration of sparse representation and compressed perception in
optical image reconstruction. Beginning with an in-depth examination of sparse …
optical image reconstruction. Beginning with an in-depth examination of sparse …
Biometric palmprint verification: A dynamical system approach
Most of the existing techniques for palmprint recognition rely on metrics, typically based on
static functions, which evaluate the distance between a pair of features. In this paper, we …
static functions, which evaluate the distance between a pair of features. In this paper, we …
Footprint recognition with principal component analysis and independent component analysis
The finger print recognition, face recognition, hand geometry, iris recognition, voice scan,
signature, retina scan and several other biometric patterns are being used for recognition of …
signature, retina scan and several other biometric patterns are being used for recognition of …