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 …

EFFECTIVE USE OF ARTIFICIAL INTELLIGENCE FOR THE ENHANCEMENT OF FACIAL RECOGNITION SYSTEM

AN Isizoh, F Ojo, OP Okechukwu - International Journal of Computing …, 2023 - ijcsnt.com
This research paper deals with the development of deep neural vision processing technique
for the enhancement of facial recognition and verification. This was motivated by the need to …

Comparative Analysis of Face Recognition Algorithms: Evaluating LBPH and FaceNet with Haar Cascade

AM Irfan, SA Deshmukh, HD Goel… - 2023 14th …, 2023 - ieeexplore.ieee.org
Facial recognition is a widely utilized technology in numerous industries, such as security,
retail, delivery, and criminal detection. However, it encounters significant challenges when …

[PDF][PDF] Efficient Iris Image Recognition System Based on Machine Learning Approach

HM Al-Dabbas, RA Azeez, AE Ali - IRAQI JOURNAL OF COMPUTERS …, 2023 - iasj.net
Iris identification is a well‐known technology used to detect striking biometric identification
techniques for recognizing human beings based on physical behavior. The texture of the iris …

Benchmarking Facial Emotion Recognition Models Using Deep Learning: A Comparative Study

E Singh, P Nand - International Conference on Electrical and Electronics …, 2023 - Springer
Emotions are important components of a person's behavior. Convolutional neural networks
(CNNs) for facial emotion identification is a fast developing discipline with applications in …

Recognition of Human emotions using Semi-Supervised Technique with SHO based DTM

TM Aruna, GN Divyaraj, C Chethan… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
There are many different aspects to study in the relatively new field of facial expression
recognition (FER). Credibility of these methodologies and their use in human-computer …

A Hybrid Approach based on Haar Cascade, Softmax, and CNN for Human Face Recognition: A HYBRID APPROACH FOR HUMAN FACE RECOGNITION

P Singh, M Kansal, R Singh, S Kumar… - Journal of Scientific & …, 2024 - or.niscpr.res.in
Face recognition has been studied long but it is still an important and current research field
in deep learning, computer vision, and forensics. There are several applications such as …

Face Recognition Algorithms for Online and On-Site Classes

T Kliangsuwan, A Heednacram… - 2022 19th International …, 2022 - ieeexplore.ieee.org
Face recognition is used in a wide variety of applications such as surveillance systems,
human-computer interaction, automatic door access control systems, and network security …

A Hybrid Approach based on Haar Cascade, Softmax, and CNN for Human Face Recognition

P Singh, M Kansal, R Singh, S Kumar, C Sen - 2024 - nopr.niscpr.res.in
Face recognition has been studied long but it is still an important and current research field
in deep learning, computer vision, and forensics. There are several applications such as …

Techniques for facial affective computing: A review

BE Abdullahi, E Ogbuju, T Abiodun… - Ukrainian Journal of …, 2023 - uesit.org.ua
Facial affective computing has gained popularity and become a progressive research area,
as it plays a key role in human-computer interaction. However, many researchers lack the …