Fraud detection and prevention by face recognition with and without mask for banking application
It gives an innovative strategy for detecting and preventing fraud in banking applications,
with a specific focus on incorporating face recognition technology. In this proposed …
with a specific focus on incorporating face recognition technology. In this proposed …
Single-sample face and ear recognition using virtual sample generation with 2D local patches
Single-sample face and ear recognition (SSFER) is a challenging sub-problem in biometric
recognition that refers to the difficulty in feature extraction and classification when only a …
recognition that refers to the difficulty in feature extraction and classification when only a …
RealMock: Crafting Realistic Animated Portraits via Dual-Driven Landmark Editing
A Abdullah, X Liu, R Abbas, SAA Mohammad… - IEEE …, 2024 - ieeexplore.ieee.org
The field of animated portrait generation, driven by audio cues, has seen remarkable
advancements in creating lifelike visuals. Despite these strides, current methodologies …
advancements in creating lifelike visuals. Despite these strides, current methodologies …
[HTML][HTML] Automated Multi-Class Facial Syndrome Classification Using Transfer Learning Techniques
Genetic disorders affect over 6% of the global population and pose substantial obstacles to
healthcare systems. Early identification of these rare facial genetic disorders is essential for …
healthcare systems. Early identification of these rare facial genetic disorders is essential for …
Improving Generation and Evaluation of Long Image Sequences for Embryo Development Prediction
P Celard, A Seara Vieira, JM Sorribes-Fdez… - Electronics, 2024 - mdpi.com
Generating synthetic time series data, such as videos, presents a formidable challenge as
complexity increases when it is necessary to maintain a specific distribution of shown …
complexity increases when it is necessary to maintain a specific distribution of shown …
Phase-Encoded Cascaded Autoencoders based Correlation Filters and Adaptive Thresholding for Illumination Invariant Face Recognition
PK Banerjee - International Conference on Pattern Recognition, 2024 - Springer
This study presents a novel method for constructing class-oriented correlation filters, utilizing
a unique integration of representation learning with phase-only autoencoders. Our proposed …
a unique integration of representation learning with phase-only autoencoders. Our proposed …
Artificial Intelligence based Facial Emotion Recognition with Deep Neural GAN Augmentation
D Menaka, DK Priya, CR Lenus… - 2024 8th …, 2024 - ieeexplore.ieee.org
Facial recognition system in computer vision is widely used in human-computer interface
and clinical diagnostics. Nonetheless, achieving high accuracy in this task still poses a …
and clinical diagnostics. Nonetheless, achieving high accuracy in this task still poses a …
[PDF][PDF] RealMock: Crafting Realistic Animated Portraits via Dual-Driven Landmark Editing
SAA MOHAMMAD, A AL-BAKHRANI, A ALABRAH… - 2024 - researchgate.net
The field of animated portrait generation, driven by audio cues, has seen remarkable
advancements in creating lifelike visuals. Despite these strides, current methodologies …
advancements in creating lifelike visuals. Despite these strides, current methodologies …
Research on intelligent attendance management system based on face recognition technology
X Zong, K Feng - International Conference on Mechatronic …, 2024 - spiedigitallibrary.org
As a biometric recognition technology, face recognition has the characteristics of
universality, high reliability and strong individual differences, and has broad application …
universality, high reliability and strong individual differences, and has broad application …