Results 41 to 50 of about 315,235 (283)

Facial Recognition-based Attendance System

open access: yesInternational Journal of Innovative Science and Research Technology (IJISRT)
Facial recognition stands as one of the most efficient applications in image processing, playing a crucial role in the technical sphere. Identifying human faces is a pressing concern, particularly in verifying student attendance. Utilizing facial biostatistics, an attendance system employing face recognition relies on high-resolution monitoring and ...
Siddiqui, Mohammed Hamza   +4 more
openaire   +1 more source

Hierarchical Recognition Scheme for Human Facial Expression Recognition Systems [PDF]

open access: yesSensors, 2013
Over the last decade, human facial expressions recognition (FER) has emerged as an important research area. Several factors make FER a challenging research problem. These include varying light conditions in training and test images; need for automatic and accurate face detection before feature extraction; and high similarity among different expressions
Muhammad Siddiqi   +4 more
openaire   +3 more sources

Target Identity Attacks on Facial Recognition Systems

open access: yes, 2020
Advancements in digital technology have significantly increased the number of cases involving the counterfeiting of identity documents. One example is exam fraud, where a counterfeiter creates a composite morphed photograph of the real candidate and an imposter, and attaches it to the examination admit card.
Saheb Chhabra   +3 more
openaire   +2 more sources

Accuracy and robustness evaluation of deep learning algorithms in facial recognition systems

open access: yesSystems and Soft Computing
To solve the high cost and low accuracy in facial recognition system, a facial recognition system based on deep learning algorithm is designed in this paper.
Jing Zhang, Ningyu Hu
doaj   +1 more source

Adaptive 3D facial action intensity estimation and emotion recognition [PDF]

open access: yes, 2015
Automatic recognition of facial emotion has been widely studied for various computer vision tasks (e.g. health monitoring, driver state surveillance and personalized learning).
Hossain, Mohammed Alamgir   +2 more
core   +1 more source

Facial recognition in education system

open access: yesIOP Conference Series: Materials Science and Engineering, 2017
Human beings exploit emotions comprehensively for conveying messages and their resolution. Emotion detection and face recognition can provide an interface between the individuals and technologies. The most successful applications of recognition analysis are recognition of faces.
L B Krithika   +3 more
openaire   +1 more source

Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data

open access: yes, 2016
Despite significant recent advances in the field of head pose estimation and facial expression recognition, raising the cognitive level when analysing human activity presents serious challenges to current concepts.
Kalliatakis, Grigorios   +2 more
core   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine   +14 more
wiley   +1 more source

Fusing Facial Features for Face Recognition

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2012
Face recognition is an important biometric method because of its potential applications in many fields, such as access control, surveillance, and human-computer interaction.
Jamal Ahmad Dargham   +2 more
doaj   +1 more source

Forensic Face Recognition: A Survey [PDF]

open access: yes, 2010
Beside a few papers which focus on the forensic aspects of automatic face recognition, there is not much published about it in contrast to the literature on developing new techniques and methodologies for biometric face recognition.
Ali, Tauseef   +2 more
core   +2 more sources

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