In Multi-Task Learning (MTL), K distinct tasks are jointly optimized. With the varying nature
and complexities of tasks, few tasks might dominate learning. For other tasks, their …

The utilization of synthetic data for fingerprint recognition has garnered increased attention
due to its potential to alleviate privacy concerns surrounding sensitive biometric data …

This review provides a comprehensive examination of the application of fluorescence
materials for the detection of latent fingerprints in forensic sciences. Traditional methods like …

Latent fingerprints are among the most important and widely used evidence in crime scenes,
digital forensics and law enforcement worldwide. Despite the number of advancements …

The recovery of mutilated fingerprints plays an important role in improving the accuracy of
fingerprint recognition and the speed of identity retrieval, so it is crucial to recover mutilated …