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M. L. Gangadhar

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Open access Aug 2026

CFR-GAN++: Occlusion-Robust Multimodal 3D Face Recognition via Synergistic Visual-EEG-ECG Fusion

Face recognition with occlusion remains a challenging issue for biometric authentication systems in real-world scenarios. Recent Generative Adversarial Network (GAN)- based approaches have improved facial reconstruction under partial occlusion; however, recognition accuracy remains severely limited in regions with exte...

M. L. Gangadhar, A. S. Raju, C. R. Roopashree · 0 citations
Open access Aug 2026

A Reliability-Based Multimodal Framework for 3D Face Recognition under Occlusion

An occlusion-aware hybrid biometric framework for reliable 3D face recognition that reaches an accuracy of up to 98.7%, even in partial occlusions, and significantly reduces the Equal Error Rate, demonstrating its effectiveness and suitability for real-world biometric authentication applications.

M. L. Gangadhar, A. S. Raju, C. R. Roopashree · 0 citations

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