A comprehensive study on face recognition: methods and challenges

P Payal, MM Goyani - The Imaging Science Journal, 2020 - Taylor & Francis
Face Recognition is the process of identifying and verifying the faces. Face recognition has
vast importance in the field of Security, Healthcare, Banking, Criminal Identification …

Face recognition algorithm based on self-adaptive blocking local binary pattern

D Shi, H Tang - Multimedia Tools and Applications, 2021 - Springer
Face recognition is a common means of identity authentication. Mobile learning platform
login technology has developed from user name and password to face recognition. In order …

M3SPCANet: a simple and effective ConvNets with unsupervised predefined filters for face recognition

D Zhou, S Feng - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The principal component analysis network (PCANet) with predefined filters has recognized
as a lightweight convolutional neural networks (CNN) baseline. However, there are three …

A novel local texture feature extraction method called multi-direction local binary pattern

J Liu, Y Chen, S Sun - Multimedia Tools and Applications, 2019 - Springer
A novel method named MD-LBP (Multi-Direction Local Binary Pattern) is proposed in this
paper to capture the excellent local texture features. Based on LBP (Local Binary Pattern) …

[PDF][PDF] 基于栈式自编码网络的非线性变化灰度差异图像配准

黄超, 郭浩, 高岩, 安居白 - Laser & Optoelectronics Progress, 2021 - researching.cn
摘要光照或成像条件等因素会引起图像间的非线性变化灰度差异, 导致图像的匹配效果较差.
针对该问题, 提出了一种基于栈式自编码(SAE) 网络和结合圆形, 线形邻域的局部二值模式(CL …

Feature extraction method of halftone images based on pixel aggregation descriptor

Z Zhong, Y Hu - Multimedia Tools and Applications, 2020 - Springer
Since halftone images only have the values of 0 and 1, the amount of information that can be
used in the feature extraction process is relatively little. The existed feature extraction …

[PDF][PDF] Face Recognition: Modern Assessment of Features Extraction

PP Parekh, MM Goyani - 2019 - researchgate.net
Accepted: 09/Apr/2019, Published: 30/Apr/2019 Abstract—Face recognition is the capability
of identifying and authenticating the dominating and leading features of the face from the …

Classificação de texturas baseada em quantização de vetores com diferença local

MSM DANTAS - 2019 - bdtd.ibict.br
Local Binary Pattern (LBP) é um simples e poderoso descritor visual utilizado para
classificação de texturas e diversas outras aplicações em visão computacional. Apesar do …