Palmprint identification using an ensemble of sparse representations
Among various palmprint identification methods proposed in the literature, sparse
representation for classification (SRC) is very attractive offering high accuracy. Although …
representation for classification (SRC) is very attractive offering high accuracy. Although …
Local discriminative direction extraction for Palmprint recognition
Direction features server as one of the most important features of palmprint and there have
been a number of direction-based palmprint recognition methods. However, most existing …
been a number of direction-based palmprint recognition methods. However, most existing …
Multi-scale discriminant representation for generic palmprint recognition
L Yu, Q Yi, K Zhou - Neural Computing and Applications, 2023 - Springer
Palmprint shows great potential in biometric-based security due to its advantages of great
stability, easy collection, and high accuracy. However, with insufficient training samples, how …
stability, easy collection, and high accuracy. However, with insufficient training samples, how …
Local discriminant direction binary pattern for palmprint representation and recognition
Direction-based methods are the most powerful and popular palmprint recognition methods.
However, there is no existing work that completely analyzes the essential differences among …
However, there is no existing work that completely analyzes the essential differences among …
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 …
Decade progress of palmprint recognition: A brief survey
As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
Multiset canonical correlation analysis: texture feature level fusion of multiple descriptors for intra-modal palmprint biometric recognition
This paper describes a novel intra-modal feature fusion for palmprint recognition based on
fusing multiple descriptors to analyze the complex texture pattern. The main contribution lies …
fusing multiple descriptors to analyze the complex texture pattern. The main contribution lies …
Appearance-based bidirectional representation for palmprint recognition
J Cui, J Wen, Z Fan - Multimedia Tools and Applications, 2015 - Springer
The palmprint recognition methods can be categorized as the feature-based methods and
the appearance-based methods. The conventional appearance-based representation …
the appearance-based methods. The conventional appearance-based representation …
Multispectral palmprint recognition using Pascal coefficients-based LBP and PHOG descriptors with random sampling
W El-Tarhouni, L Boubchir, M Elbendak… - Neural Computing and …, 2019 - Springer
Local binary pattern (LBP) algorithm and its variants have been used extensively to analyse
the local textural features of digital images with great success. Numerous extensions of LBP …
the local textural features of digital images with great success. Numerous extensions of LBP …
Palmprint recognition using coarse-to-fine statistical image representation
Recent literatures have revealed that statistics of local texture measures can provide
accurate descriptions of palmprint appearances. In this framework, one palmprint image is …
accurate descriptions of palmprint appearances. In this framework, one palmprint image is …