A systematic review on machine learning models for online learning and examination systems
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …
future and career paths. The COVID pandemic has left adverse impacts in all areas …
Attacks and defenses in user authentication systems: A survey
X Wang, Z Yan, R Zhang, P Zhang - Journal of Network and Computer …, 2021 - Elsevier
User authentication systems (in short authentication systems) have wide utilization in our
daily life. Unfortunately, existing authentication systems are prone to various attacks while …
daily life. Unfortunately, existing authentication systems are prone to various attacks while …
Deep face liveness detection based on nonlinear diffusion using convolution neural network
A Alotaibi, A Mahmood - Signal, Image and Video Processing, 2017 - Springer
A face-spoofing attack occurs when an imposter manipulates a face recognition and
verification system to gain access as a legitimate user by presenting a 2D printed image or …
verification system to gain access as a legitimate user by presenting a 2D printed image or …
Person-specific face spoofing detection based on a siamese network
Face spoofing detection is an essential prerequisite for face recognition applications.
Previous face spoofing detection methods usually trained a binary classifier to classify the …
Previous face spoofing detection methods usually trained a binary classifier to classify the …
3d convolutional neural network based on face anti-spoofing
J Gan, S Li, Y Zhai, C Liu - 2017 2nd international conference …, 2017 - ieeexplore.ieee.org
Face anti-spoofing is very significant to the security of face recognition. Many existing
literatures focus on the study of photo attack. For the video attack, however, the related …
literatures focus on the study of photo attack. For the video attack, however, the related …
Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
On the impact of multimodal and multisensor biometrics in smart factories
Smart factories are fostered by integrating intelligent systems and ICT technologies. The role
they play is crucial in the spread of Industry 4.0 and the economic growth of developed …
they play is crucial in the spread of Industry 4.0 and the economic growth of developed …
Classification of histopathology images of lung cancer using convolutional neural network (CNN)
N Baranwal, P Doravari… - Disruptive Developments in …, 2022 - taylorfrancis.com
Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …
MFFFLD: A multimodal-feature-fusion-based fingerprint liveness detection
Biometrics spoofing attack (BsSA) frequently occurs when an adversary impersonates a
lawful user to access to the biometric system by means of some forged or synthetic samples …
lawful user to access to the biometric system by means of some forged or synthetic samples …
[PDF][PDF] A survey on face anti-spoofing algorithms
M Zhang, K Zeng, J Wang - Journal of Information Hiding and …, 2020 - cdn.techscience.cn
The development of artificial intelligence makes the application of face recognition more and
more extensive, which also leads to the security of face recognition technology increasingly …
more extensive, which also leads to the security of face recognition technology increasingly …