A Study on various state of the art of the Art Face Recognition System using Deep Learning Techniques

S Chokkadi, A Bhandary - arXiv preprint arXiv:1911.08426, 2019 - arxiv.org
Considering the existence of very large amount of available data repositories and reach to
the very advanced system of hardware, systems meant for facial identification ave evolved …

Face recognition via deep stacked denoising sparse autoencoders (DSDSA)

P Görgel, A Simsek - Applied Mathematics and Computation, 2019 - Elsevier
Face recognition is still a hot topic under investigation due to many challenges of variation
including the difference in poses, illumination, expression, occlusion and scenes. Recently …

Automatic generation of building information models from digitized plans

O Doukari, D Greenwood - Automation in Construction, 2020 - Elsevier
This paper proposes a new approach to creating Building Information (BIM) models of
existing buildings from digitized images. This automatic approach is based on three main …

Improved local descriptor (ILD): a novel fusion method in face recognition

S Karanwal - International Journal of Information Technology, 2023 - Springer
Literature suggests that by fusing multiple features there is immense improvement in the
recognition rates as compared to the recognition rates of single descriptor. This motivate …

A new model for pattern recognition

HR Farhan, MH Al-Muifraje, TR Saeed - Computers & Electrical …, 2020 - Elsevier
The hidden Markov model (HMM) has recently achieved impressive success in the field of
pattern recognition, but some limitations and drawbacks restrict its performance. In this …

Face Recognition System Using Image Enhancement with PCA and LDA

R Aggarwal, S Bhardwaj… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Face recognition has numerous applications in the modern world. With recent developments
in IoT devices, security, and biometric systems, many applications of face recognition are …

An efficient and accurate DDPG-based recurrent attention model for object localization

F Ke - IEEE Access, 2020 - ieeexplore.ieee.org
Using image processing algorithm to localize objects, which lack specific patterns and local
features, has always been the research focus in industrial production. Compared with the …

[PDF][PDF] International Journal of Advanced Trends in Computer Science and Engineering

AM Alqudah, H Alquraan, IA Qasmieh, A Alqudah… - International …, 2019 - arxiv.org
Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …

A robust face recognition system using convolutional neural networks

MS Mohammed, HR Farhan, MS Kod - AIP Conference Proceedings, 2024 - pubs.aip.org
Biometric technologies are now widely employed to assess and confirm individuals' distinct
features to achieve recognition or authentication. Face recognition-based systems are the …

The model of fast face recognition against age interference in deep learning

Y Zhang, P Wu, J Zhao, H Feng… - International Journal of …, 2022 - inderscienceonline.com
In order to overcome the low recognition efficiency of traditional anti-age face recognition
methods, the paper proposes a new anti-age-disturbing face recognition modelling method …