Fingerprint Liveness Detection

Fingerprint liveness detection aims to distinguish genuine fingerprints from forged ones, a crucial aspect of secure biometric authentication. Current research emphasizes improving the generalization capabilities of liveness detection models across diverse datasets and sensor types, employing techniques like style transfer and focusing on feature extraction methods based on fingerprint quality measures. This field is vital for enhancing the security and reliability of fingerprint-based systems, with ongoing competitions driving advancements in algorithm performance and robustness.