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SVM-Based Synthetic Fingerprint Discrimination Algorithm and Quantitative Optimization Strategy
Synthetic fingerprints are a potential threat to automatic fingerprint identification systems (AFISs). In this paper, we propose an algorithm to discriminate synthetic fingerprints from real ones. First, four typical characteristic factors—the ridge distance features, global gray features, frequency...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210264/ https://www.ncbi.nlm.nih.gov/pubmed/25347063 http://dx.doi.org/10.1371/journal.pone.0111099 |