Local discriminant coding based convolutional feature representation for multimodal finger recognition
Compared with unimodal biometrics systems, multimodal systems can effectively improve
the recognition performance in accuracy and security. However, exploring a robust feature …
the recognition performance in accuracy and security. However, exploring a robust feature …
Local directional ternary pattern: A new texture descriptor for texture classification
In this paper, the three level descriptions from LTP and the directional features from LDP are
combined to form a new local feature descriptor, referred to as local directional ternary …
combined to form a new local feature descriptor, referred to as local directional ternary …
Leaf-based plant species recognition based on improved local binary pattern and extreme learning machine
Over the past 15 years, many feature extraction methods have been used and developed for
the recognition of plant species. These methods have mostly been performed using …
the recognition of plant species. These methods have mostly been performed using …
A novel ensemble local graph structure based feature extraction network for EEG signal analysis
Electroencephalogram (EEG) signals have been extensively utilized to identify brain
disorders such as epilepsy. In this study, a novel feature extraction network based on local …
disorders such as epilepsy. In this study, a novel feature extraction network based on local …
An application of chain code-based local descriptor and its extension to face recognition
Local descriptors are widely used technique of feature extraction to obtain information about
both local and global properties of an object. Here, we discuss an application of the Chain …
both local and global properties of an object. Here, we discuss an application of the Chain …
Local concave-and-convex micro-structure patterns for texture classification
Y Ruichek - Pattern Recognition, 2018 - Elsevier
Motivated by researching new image texture modeling that improves state-of-the-art LBP
variants and non-LBP descriptors, this paper proposes a novel approach for constructing …
variants and non-LBP descriptors, this paper proposes a novel approach for constructing …
Convolutional neural network with convolutional block attention module for finger vein recognition
Z Zhang, M Wang - arxiv preprint arxiv:2202.06673, 2022 - arxiv.org
Convolutional neural networks have become a popular research in the field of finger vein
recognition because of their powerful image feature representation. However, most …
recognition because of their powerful image feature representation. However, most …
Genetic algorithm‐optimised structure of convolutional neural network for face recognition applications
Proposing a proper method for face recognition is still a challenging subject in biometric and
computer vision applications. Although some reliable systems were introduced under …
computer vision applications. Although some reliable systems were introduced under …
Repulsive-and-attractive local binary gradient contours: New and efficient feature descriptors for texture classification
This paper presents new modeling of local binary patterns for texture representation.
Referred to as local binary gradient contours (LBGC), the proposed models are expected to …
Referred to as local binary gradient contours (LBGC), the proposed models are expected to …
Near infrared face recognition using Zernike moments and Hermite kernels
This work proposes a novel face recognition method based on Zernike moments (ZMs) and
Hermite kernels (HKs) to cope with variations in facial expression, changes in head pose …
Hermite kernels (HKs) to cope with variations in facial expression, changes in head pose …