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...

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Detalles Bibliográficos
Autores principales: Chen, Suhang, Chang, Sheng, Huang, Qijun, He, Jin, Wang, Hao, Huang, Qiangui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
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

Internet

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

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