Search Results for author:
Found 3 papers, 0 papers with code
A Universal Latent Fingerprint Enhancer Using Transformers
This study aims to develop a fast method, which we call ULPrint, to enhance various latent fingerprint types, including those obtained from real crime scenes and laboratory-created samples, to boost fingerprint recognition system performance.
Synthetic Latent Fingerprint Generator
Given a full fingerprint image (rolled or slap), we present CycleGAN models to generate multiple latent impressions of the same identity as the full print.
The use of Data Augmentation as a technique for improving neural network accuracy in detecting fake news about COVID-19
This paper aims to present how the application of Natural Language Processing (NLP) and data augmentation techniques can improve the performance of a neural network for better detection of fake news in the Portuguese language.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
