Virtual image representation and adaptive weighted score level fusion for genetic face recognition

S Deepa, A Bhagyalakshmi… - … : Select Proceedings of …, 2022 - Springer
Face recognition is the most interesting and wide area of research over the past few
decades. This research work proposes the effective virtual image representation and …

PSO based fuzzy-genetic optimization technique for face recognition

RR Subramanian, H Mohan, AM Jenny… - … on Cloud Computing …, 2021 - ieeexplore.ieee.org
One of the trending research topics over the world is Face Recognition. There are several
methods available to recognize the human faces. Yet new methods are proposed to make …

Enhanced brain inspired model for face categorization using mutual information maximization

M Jazlaeiyan, S Seyedin… - 2018 25th national and …, 2018 - ieeexplore.ieee.org
Human visual system can robustly and simply recognize complex objects in cluttered natural
scenes. So far, numerous computational models have been developed to mimic the …

A feature fusion method for effective face recognition under variant illumination and noisy conditions

K Juneja, C Rana - Applications of Computing, Automation and Wireless …, 2019 - Springer
Faces extracted in bad light are affected in terms of unequal contrast, noise, and variant
illumination. These kinds of disruptions decrease the accuracy of facial authentication real …

A Survey on Recent Techniques in Face Recognition for Various Databases

VK HR, M Mathivanan - 2021 10th IEEE International …, 2021 - ieeexplore.ieee.org
Face recognition is a significant biometric application in Image Processing. In the research
zone, the Face recognition topic persistently continued due to the most significant challenge …

A review of the comparative studies on traditional and intelligent face recognition methods

E Jiang - 2020 International Conference on Computer Vision …, 2020 - ieeexplore.ieee.org
The birth of face recognition technology began in the 1960s, and it has experienced a
general development process: based on face structure features (1970-1990), statistical …

[PDF][PDF] An Adaptive Ensemble Learning-Based Smart Face Recognition and Verification Framework with Improved Heuristic Approach

S Shivaprakash, SV Rajashekararadhya - pdfs.semanticscholar.org
Face recognition is an uncontrollable surveillance system but faces complex issues
regarding minimal resolution, expression modification, and motion blur. Nowadays …

A good practice towards top performance of face recognition: Transferred deep feature fusion

L Xiong, J Karlekar, J Zhao, Y Cheng, Y Xu… - arXiv preprint arXiv …, 2017 - arxiv.org
Unconstrained face recognition performance evaluations have traditionally focused on
Labeled Faces in the Wild (LFW) dataset for imagery and the YouTubeFaces (YTF) dataset …

A research on face cognition method with deep ensemble learning and feedback mechanism

F Yeping, Y Desheng, M Dong, J Dian… - … and Computer Aided …, 2019 - ieeexplore.ieee.org
Face recognition technology is an important research field for deep learning. In order to
overcome the shortcomings of traditional open-loop face cognition mode and deep neural …

[PDF][PDF] A Smart Face Recognition and Verification using Optimal Spatial and Spectral Feature Selection with Adaptive Multiscale Mobilenet

S Shivaprakash, SV Rajashekararadhya - Learning, 2023 - oajaiml.com
Face recognition is complicated work, which is highly demanding while processing the
interclass similarities and intra-class differentiations in the acquired images in a wider range …