Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification

In this paper, we provide a study about the impact of the most prominent inpainting and denoising solutions on the latent fingerprint identification. From an in-depth analysis, we show how some of the analyzed inpainting and denoising solutions can improve up 63% for Rank-1 and 26% for Rank-20 the f...

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Autores principales: Ramírez-Sáyago, Ernesto, Loyola-González, Octavio, Medina-Pérez, Miguel Angel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297577/
http://dx.doi.org/10.1007/978-3-030-49076-8_8
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author Ramírez-Sáyago, Ernesto
Loyola-González, Octavio
Medina-Pérez, Miguel Angel
author_facet Ramírez-Sáyago, Ernesto
Loyola-González, Octavio
Medina-Pérez, Miguel Angel
author_sort Ramírez-Sáyago, Ernesto
collection PubMed
description In this paper, we provide a study about the impact of the most prominent inpainting and denoising solutions on the latent fingerprint identification. From an in-depth analysis, we show how some of the analyzed inpainting and denoising solutions can improve up 63% for Rank-1 and 26% for Rank-20 the fingerprint identification rates when state-of-the-art minutiae extractors are used. Nevertheless, it is necessary to create new denoising and inpainting solutions that are specifically built to deal with latent fingerprints and their associated issues.
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spelling pubmed-72975772020-06-17 Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification Ramírez-Sáyago, Ernesto Loyola-González, Octavio Medina-Pérez, Miguel Angel Pattern Recognition Article In this paper, we provide a study about the impact of the most prominent inpainting and denoising solutions on the latent fingerprint identification. From an in-depth analysis, we show how some of the analyzed inpainting and denoising solutions can improve up 63% for Rank-1 and 26% for Rank-20 the fingerprint identification rates when state-of-the-art minutiae extractors are used. Nevertheless, it is necessary to create new denoising and inpainting solutions that are specifically built to deal with latent fingerprints and their associated issues. 2020-04-29 /pmc/articles/PMC7297577/ http://dx.doi.org/10.1007/978-3-030-49076-8_8 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ramírez-Sáyago, Ernesto
Loyola-González, Octavio
Medina-Pérez, Miguel Angel
Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification
title Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification
title_full Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification
title_fullStr Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification
title_full_unstemmed Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification
title_short Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification
title_sort towards inpainting and denoising latent fingerprints: a study on the impact in latent fingerprint identification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297577/
http://dx.doi.org/10.1007/978-3-030-49076-8_8
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