Generation of Privacy-friendly Datasets of Latent Fingerprint Images using Generative Adversarial Networks

Stefan Seidlitz; Kris Jürgens; Andrey Makrushin; Christian Kraetzer; Jana Dittmann

doi:10.5220/0010251603450352

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JOURNAL ARTICLE

Generation of Privacy-friendly Datasets of Latent Fingerprint Images using Generative Adversarial Networks

Stefan Seidlitz Kris Jürgens Andrey Makrushin Christian Kraetzer Jana Dittmann

Year: 2021 Pages: 345-352

DOI: 10.5220/0010251603450352

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Keywords:

Fingerprint (computing) Computer science Adversarial system Generative grammar Artificial intelligence Generative adversarial network Fingerprint recognition Pattern recognition (psychology) Image (mathematics)

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Biometric Identification and Security

Physical Sciences → Computer Science → Signal Processing

Generation of Privacy-friendly Datasets of Latent Fingerprint Images using Generative Adversarial Networks

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