专题:Biometric Identification and Security

This cluster of papers focuses on the advancements in biometric recognition systems, with an emphasis on security, privacy, and authentication methods. It covers a wide range of biometric modalities such as fingerprint, iris recognition, face spoof detection, and multimodal biometrics. The papers also delve into topics like feature extraction, template protection, and the challenges of biometric systems under spoofing attacks.
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2nd Latent in the Wild Fingerprint Recognition Competition

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xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices

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Fractal Complexity and Pigment Architecture of the Human Iris: A Comparative Analysis Using Box-Counting Dimension and Nevi Characterization

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Iris Fractal & Nevi Analysis: Comparative Study of Pigment Architecture and Pathology Markers — Argira Station (v5.1)

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Text-Aligned Radar-Based Sign Language Recognition for Healthcare Communication

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Efficient Face Image Quality Assessment via Self-Training and Knowledge Distillation

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Modality-Specific Benchmarks and Radar Range-Doppler Envelope Classification for Multimodal Isolated Sign Language Recognition

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A Multimodal Video and Radar Fusion Framework for High-Accuracy Isolated Sign Language Recognition

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RankCORE: Self-Supervised Ranking-Aware Correlation Optimized Regression for Face Image Quality Assessment

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VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results

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