Face recognition algorithm based on fast computation of orthogonal moments
Face recognition is required in various applications, and major progress has been
witnessed in this area. Many face recognition algorithms have been proposed thus far; …
witnessed in this area. Many face recognition algorithms have been proposed thus far; …
3D object recognition using fast overlapped block processing technique
Three-dimensional (3D) image and medical image processing, which are considered big
data analysis, have attracted significant attention during the last few years. To this end …
data analysis, have attracted significant attention during the last few years. To this end …
MPPCANet: A feedforward learning strategy for few-shot image classification
Y Song, C Chen - Pattern Recognition, 2021 - Elsevier
The main learning strategy of the PCANet is using Principal Component Analysis (PCA) for
learning the convolutional filters from the data. The assumption that all the image patches …
learning the convolutional filters from the data. The assumption that all the image patches …
Performance improvement in face recognition system using optimized Gabor filters
R Mohammadian Fini, M Mahlouji… - Multimedia Tools and …, 2022 - Springer
A biometric method for identifying people is face recognition. In the face recognition process,
the key step is to extract the distinctive features of each person's image. One of the most …
the key step is to extract the distinctive features of each person's image. One of the most …
Multi-orientation and multi-scale features discriminant learning for palmprint recognition
Palmprint contains stable and effective features, especially the orientation and scale
features of palm lines, and has now become an important identity recognition technique for …
features of palm lines, and has now become an important identity recognition technique for …
Unsupervised visual feature learning with spike-timing-dependent plasticity: How far are we from traditional feature learning approaches?
Spiking neural networks (SNNs) equipped with latency coding and spike-timing dependent
plasticity rules offer an alternative to solve the data and energy bottlenecks of standard …
plasticity rules offer an alternative to solve the data and energy bottlenecks of standard …
Locally lateral manifolds of normalised Gabor features for face recognition
FH Kamaru Zaman - IET Computer Vision, 2020 - Wiley Online Library
Due to inherent characteristics of multiscale and orientation, normalised Gabor features
have been successfully used in face recognition. Various previous works have showcased …
have been successfully used in face recognition. Various previous works have showcased …
Face recognition with convolutional neural networks and subspace learning
L Wan, N Liu, H Huo, T Fang - 2017 2nd international …, 2017 - ieeexplore.ieee.org
Deep learning is widely used in computer vision. In this study, we present a new method
based on Convolutional Neural Networks (CNN) and subspace learning for face recognition …
based on Convolutional Neural Networks (CNN) and subspace learning for face recognition …
Recognition of Intergranular Corrosion in AISI 304 Stainless Steel by Integrating a Multilayer Perceptron Artificial Neural Network and Metallographic Image …
EA Ruelas-Santoyo, AJ Ríos-Lira… - Applied Sciences, 2024 - mdpi.com
The correct management of operations in thermoelectric plants is based on the continuous
evaluation of the structural integrity of its components, among which there are elements …
evaluation of the structural integrity of its components, among which there are elements …
Fusion of global and local Gaussian-hermite moments for face recognition
G Song, D He, P Chen, J Tian, B Zhou… - Image and Graphics …, 2019 - Springer
In automatically recognizing human faces, it is an important problem how to extract the
effective features from the corrupted face. This paper propose a new face recognition …
effective features from the corrupted face. This paper propose a new face recognition …