An optimized approach for feature extraction in multi-relational statistical learning

G Bakshi, R Shukla, V Yadav, A Dahiya… - Journal of Scientific & …, 2021 - op.niscpr.res.in
Various features come from relational data often used to enhance the prediction of statistical
models. The features increases as the feature space increases. We proposed a framework …

[PDF][PDF] A new hybrid approach for efficient emotion recognition using deep learning

M Rahul, N Tiwari, R Shukla, D Tyagi… - Int. J. Electr. Electron …, 2022 - academia.edu
░ ABSTRACT-Facial emotion recognition has been very popular area for researchers in last
few decades and it is found to be very challenging and complex task due to large intra-class …

[HTML][HTML] An optimal method for identification of finger vein using supervised learning

S Shakil, D Arora, T Zaidi - Measurement: Sensors, 2023 - Elsevier
The identification of finger vein is very advanced biometric technique and also behove an
important discipline in biometric area, accommodating growing attention in last years. In the …

Performance of ShuffleNet and VGG-19 Architectural Classification Models for Face Recognition in Autistic Children.

M Melinda, M Oktiana, Y Nurdin… - International …, 2023 - search.ebscohost.com
This study discusses the face recognition of children with special needs, especially those
with autism. Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder …

Perbandingan Identifikasi Wajah Dengan Ekstraksi Fitur Haralick Dan CNN

FN Cahya - Informatics and Digital Expert (INDEX), 2020 - e-journal.unper.ac.id
Kecanggihan teknologi telah berdampak pada setiap segi kehidupan. Salah satunya
pengolahan citra yang menjadikan objek wajah sebagai karakter utama. Deteksi wajah …

Detecting the drone by the combination of optical flow with various techniques

HAH Al-Kaabi, SA Seyedin - 2022 8th Iranian Conference on …, 2022 - ieeexplore.ieee.org
In image processing, detecting and tracking air targets (especially drones) is attainable. The
present study focuses on drone detection using the combination of optical flow and …

Deep Learning-Based Emotion Recognition Using Supervised Learning

M Rahul, N Tiwari, R Shukla, M Kaleem… - Emerging Technologies in …, 2022 - Springer
Facial emotion recognition using deep learning is getting lot of attention by the researchers
in the past years. Since the images are nonlinear and noisy in nature, it is very difficult to …

Comparative Analysis of Face Detection Techniques on Videos of Low Vs High Quality

A Mool, J Panda, K Sharma - 2023 Third International …, 2023 - ieeexplore.ieee.org
In today's age, there is a lot of visual information that is generated in various fields, ranging
from daily routine to specialized applications. Processing all these types of information …

Face Recognition Authentication System with CNN and Blink Detection Algorithm

WS Ow, MA Ilyas, NH Kamarudin, MB Othman… - … on Computing, Control …, 2023 - Springer
Authentication is a process that verifies a user's identity by recognising the user's credential
to see whether it matches the credential in the database of the information system. It is one …

[PDF][PDF] Cross-Racial Automatic Age Estimation from Facial Images using Deep Learning

OV Abhulimen, AO Fadamiro, EO Ogunti - International Journal, 2021 - academia.edu
This paper presents a deep learning approach for age estimation of human beings using
their facial images. The different racial groups based on skin colour have been incorporated …