Project Description

deep-learning-based contactless 3D fingerprint identification systems have shown enhanced usability, and soon they will be a widely used biometric performance modality. This project will be focused on creating new or existing deep-learning techniques to address certain upcoming contactless fingerprint challenges, such as speeding up feature extraction, reducing the amount of time required to process images, and improving identification accuracy. Additionally, other biometric characteristics such as patterns in palmprints will be taken into consideration.