B. Rosdi

One-Class Anomaly Detection for Finger Vein Presentation Attack Detection

This work establishes the effectiveness of unsupervised, frequency-enhanced anomaly detection for robust biometric security by outperforming supervised baselines like support vector machines and convolutional neural networks in generalizing to unseen digital and glossy photo attacks.