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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Reconstruction of Damaged Parts of Fingerprint Image Using Neural Nets
 Bobocký, Boris ; Dyk, Tomáš (referee) ; Kanich, Ondřej (advisor)
In this paper, I propose a method for reconstructing damaged fingerprints using generative adversarial networks (GANs), implemented with Python and the PyThorch library. I have trained a specific GAN model on a dataset of approximately twenty thousand prints, created with Anguli and other damage simulation tools. This approach produced excellent results and could have wide application in biometric systems. This work highlights the potential of deep learning in the fields of image reconstruction and biometrics.
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