Biometrics refers to the measurement and statistical analysis of a person’s unique physical and behavioral characteristics. These characteristics are used for identification and authentication purposes. Common biometric modalities include fingerprints, facial recognition, iris scans, voice recognition, and behavioral biometrics such as signature dynamics and gait. Biometric systems are often employed in security applications, access control, and identity verification, providing a more secure and convenient alternative to traditional authentication methods like passwords.

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Real-time ConcealedWeapon Detection on 3D Radar Images forWalk-through Screening System

This paper presents a framework for real-time concealed weapon detection (CWD) on 3D radar images for walk-through screening systems. The walk-through screening system aims to ensure security in crowded areas by performing CWD on walking persons, hence it requires an accurate and real-time detection approach. To ensure accuracy, a weapon needs to be detected irrespective of its 3D orientation, thus we use the 3D radar images as detection input. For achieving real-time, we reformulate classic U-Net based segmentation networks to perform 3D detection tasks. Our 3D segmentation network predicts peak-shaped probability map, instead of voxel-wise masks, to enable position inference by elementary peak detection operation on the predicted map. In the peak-shaped probability map, the peak marks the weapon’s position. So, weapon detection task translates to peak detection on the probability map. A Gaussian function is used to model weapons in the probability map. We experimentally validate our approach on realistic 3D radar images obtained from a walk-through weapon screening system prototype. Extensive ablation studies verify the effectiveness of our proposed approach over existing conventional approaches. The experimental results demonstrate that our proposed approach can perform accurate and real-time CWD, thus making it suitable for practical applications of walk-through screening.