Partial Fingerprint

Partial fingerprint recognition focuses on accurately identifying individuals using incomplete fingerprint scans, a challenge arising from limited sensor size in portable devices and variations in finger placement. Current research emphasizes developing robust algorithms, such as convolutional neural networks and transformer hybrids, that jointly address fingerprint alignment and identity verification, leveraging the inherent correlation between these tasks. These advancements aim to improve the accuracy and efficiency of partial fingerprint authentication, enhancing security applications in various portable devices and potentially impacting forensic science.