Feature selection and feature extraction in pattern analysis: A literature review
B Ghojogh, MN Samad, SA Mashhadi, T Kapoor… - arXiv preprint arXiv …, 2019 - arxiv.org
Pattern analysis often requires a pre-processing stage for extracting or selecting features in
order to help the classification, prediction, or clustering stage discriminate or represent the …
order to help the classification, prediction, or clustering stage discriminate or represent the …
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 and palmvein recognition based on DCNN and a new large-scale contactless palmvein dataset
Among the members of biometric identifiers, the palmprint and the palmvein have received
significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper …
significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper …
Novel image fusion scheme based on dependency measure for robust multispectral palmprint recognition
R Raghavendra, C Busch - Pattern recognition, 2014 - Elsevier
Multispectral palmprint is considered as an effective biometric modality to accurately
recognize a subject with high confidence. This paper presents a novel multispectral …
recognize a subject with high confidence. This paper presents a novel multispectral …
Palmprint recognition with local micro-structure tetra pattern
G Li, J Kim - Pattern Recognition, 2017 - Elsevier
Human palmprint-based biometric solutions have been studied extensively in both
controlled and uncontrolled environments. However, the majority of existing methods do not …
controlled and uncontrolled environments. However, the majority of existing methods do not …
Palmprint recognition via discriminative index learning
In the past years, deep convolutional neural networks (CNNs) have become extremely
popular in the computer vision and pattern recognition community. The computational power …
popular in the computer vision and pattern recognition community. The computational power …
[图书][B] Touchless palmprint recognition systems
Biometric systems consist of devices, algorithms, and procedures used to recognize
individuals or classes of individuals based on their physical or behavioral characteristics …
individuals or classes of individuals based on their physical or behavioral characteristics …
Palmprint and Finger-Knuckle-Print for efficient person recognition based on Log-Gabor filter response
A Meraoumia, S Chitroub, A Bouridane - Analog Integrated Circuits and …, 2011 - Springer
Person recognition systems based on biometrics are being increasingly utilized in any
applications to enhance the security of physical and logical access systems. A number of …
applications to enhance the security of physical and logical access systems. A number of …
Palmprint recognition by applying wavelet-based kernel PCA
M Ekinci, M Aykut - Journal of Computer Science and Technology, 2008 - Springer
This paper presents a wavelet-based kernel Principal Component Analysis (PCA) method
by integrating the Daubechies wavelet representation of palm images and the kernel PCA …
by integrating the Daubechies wavelet representation of palm images and the kernel PCA …