A multi-agent system for the classification of gender and age from images

A González-Briones, G Villarrubia, JF De Paz… - Computer Vision and …, 2018 - Elsevier
The automatic classification of human images on the basis of age range and gender can be
used in audiovisual content adaptation for Smart TVs or marquee advertising. Knowledge …

Classification and gender recognition from veiled-faces

AB Hassanat, VBS Prasath… - International …, 2017 - inderscienceonline.com
This study aims to investigate to what extent a computer system can identify veiled-human
and recognise gender using eyes and the uncovered part of the face. For the purpose of this …

Human face identification using lbp and haar-like features for real time attendance monitoring

MK Rusia, DK Singh, MA Ansari - 2019 Fifth International …, 2019 - ieeexplore.ieee.org
Real time attendance monitoring is the essential requirement in modern era to improve the
work efficiency for all private and public organization. There happens to be a number of …

Pose‐invariant face recognition using curvelet neural network

P Sharma, RN Yadav, KV Arya - IET biometrics, 2014 - Wiley Online Library
A novel pose‐invariant face recognition method is proposed by combining curvelet‐invariant
moments with curvelet neural network. First a special set of statistical coefficients using …

A face detection and location method based on feature binding

J **, B Xu, X Liu, Y Wang, L Cao, L Han… - Signal Processing …, 2015 - Elsevier
A face detection and location method based on Feature Binding (FB) is proposed in this
paper. The features used for face detection and location are classified and bound into …

A polynomial kernel neural network classifier based on random sampling and information gain

Y **ao, W Huang, SK Oh, L Zhu - Applied Intelligence, 2022 - Springer
In this paper, we propose a polynomial kernel neural network classifier (PKNNC) based on
the random sampling and information gain. Random sampling is used here to generate …

Face recognition from video using generalized mean deep learning neural network

P Sharma, RN Yadav, KV Arya - 2016 4th International …, 2016 - ieeexplore.ieee.org
Proposed algorithm is a face recognition algorithm from video using Generalized mean
Deep Learning Neural Network. Generalized mean provides fast convergence of the feature …

Single sample description based on Gabor fusion

T Chen, T Gao, X Zhao - IET Image Processing, 2019 - Wiley Online Library
Owing to lack of enough face image and invalidation of many traditional face recognition
algorithms, face recognition with single training sample is really a great challenge. To solve …

LBP-like feature based on Gabor wavelets for face recognition

WJ Li, J Wang, ZH Huang, T Zhang… - International Journal of …, 2017 - World Scientific
The robust feature extraction method for face representation is an important issue in face
recognition. In this paper, we extract a new kind of feature through applying the idea of local …

Hybrid multidimensional wavelet-neuro-system and its learning using cross entropy cost function in pattern recognition

O Vynokurova, D Peleshko, Y Borzov… - 2018 IEEE Second …, 2018 - ieeexplore.ieee.org
In this paper, the hybrid multidimensional wavelet-neuro-system for pattern recognition tasks
is proposed. Also learning algorithm for all its parameters (synaptic weights, the centers, and …