Cancelable color face recognition using trinion gyrator transform and randomized nonlinear PCANet

Shao, Zhuhong; Wang, Xue; Li, Bicao; Zhang, Yu; Shang, Yuanyuan; Ouyang, Junlin

doi:10.1007/s11042-023-17905-2

Multimed Tools Appl

2024

DOI: 10.1007/s11042-023-17905-2

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Cancelable color face recognition using trinion gyrator transform and randomized nonlinear PCANet

Zhuhong Shao,

Xue Wang,

Bicao Li

et al.

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Cited by 2 publications

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Research on an XRF-visNIR soil heavy metal exceedance analysis method based on GAS transformation and PCANet

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et al. 2024

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Enhancing facial recognition accuracy through multi-scale feature fusion and spatial attention mechanisms

Ul Ghani,

She,

Saeed

et al. 2024

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<abstract><p>Nowadays, advancements in facial recognition technology necessitate robust solutions to address challenges in real-world scenarios, including lighting variations and facial position discrepancies. We introduce a novel deep neural network framework that significantly enhances facial recognition accuracy through multi-scale feature fusion and spatial attention mechanisms. Leveraging techniques from FaceNet and incorporating atrous spatial pyramid pooling and squeeze-excitation modules, our approach achieves superior accuracy, surpassing 99% even under challenging conditions. Through meticulous experimentation and ablation studies, we demonstrate the efficacy of each component, highlighting notable improvements in noise resilience and recall rates. Moreover, the introduction of the Feature Generative Spatial Attention Adversarial Network (FFSSA-GAN) model further advances the field, exhibiting exceptional performance across various domains and datasets. Looking forward, our research emphasizes the importance of ethical considerations and transparent methodologies in facial recognition technology, paving the way for responsible deployment and widespread adoption in the security, healthcare, and retail industries.</p></abstract>

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Cancelable color face recognition using trinion gyrator transform and randomized nonlinear PCANet

Cited by 2 publications

References 27 publications

Research on an XRF-visNIR soil heavy metal exceedance analysis method based on GAS transformation and PCANet

Research on an XRF-visNIR soil heavy metal exceedance analysis method based on GAS transformation and PCANet

Enhancing facial recognition accuracy through multi-scale feature fusion and spatial attention mechanisms

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