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Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

(2017) KNOWLEDGE-BASED SYSTEMS. 126. p.91-103
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SUPPORT VECTOR MACHINES, VERIFICATION COMPETITION, PATTERN-CLASSIFICATION, FEATURE-EXTRACTION, SINGULAR POINTS, LEVEL, FUSION, RETRIEVAL, INFORMATION, BIOMETRICS, SYSTEM, Fingerprint recognition, Fingerprint identification, Fingerprint, classification, Large databases, Feature selection, Hierarchical, classification

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Citation

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MLA
Peralta, Daniel, et al. “Distributed Incremental Fingerprint Identification with Reduced Database Penetration Rate Using a Hierarchical Classification Based on Feature Fusion and Selection.” KNOWLEDGE-BASED SYSTEMS, vol. 126, 2017, pp. 91–103, doi:10.1016/j.knosys.2017.03.014.
APA
Peralta, D., Triguero, I., García, S., Saeys, Y., Benitez, J. M., & Herrera, F. (2017). Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. KNOWLEDGE-BASED SYSTEMS, 126, 91–103. https://doi.org/10.1016/j.knosys.2017.03.014
Chicago author-date
Peralta, Daniel, Isaac Triguero, Salvador García, Yvan Saeys, Jose M Benitez, and Francisco Herrera. 2017. “Distributed Incremental Fingerprint Identification with Reduced Database Penetration Rate Using a Hierarchical Classification Based on Feature Fusion and Selection.” KNOWLEDGE-BASED SYSTEMS 126: 91–103. https://doi.org/10.1016/j.knosys.2017.03.014.
Chicago author-date (all authors)
Peralta, Daniel, Isaac Triguero, Salvador García, Yvan Saeys, Jose M Benitez, and Francisco Herrera. 2017. “Distributed Incremental Fingerprint Identification with Reduced Database Penetration Rate Using a Hierarchical Classification Based on Feature Fusion and Selection.” KNOWLEDGE-BASED SYSTEMS 126: 91–103. doi:10.1016/j.knosys.2017.03.014.
Vancouver
1.
Peralta D, Triguero I, García S, Saeys Y, Benitez JM, Herrera F. Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. KNOWLEDGE-BASED SYSTEMS. 2017;126:91–103.
IEEE
[1]
D. Peralta, I. Triguero, S. García, Y. Saeys, J. M. Benitez, and F. Herrera, “Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection,” KNOWLEDGE-BASED SYSTEMS, vol. 126, pp. 91–103, 2017.
@article{8524049,
  author       = {{Peralta, Daniel and Triguero, Isaac and García, Salvador and Saeys, Yvan and Benitez, Jose M and Herrera, Francisco}},
  issn         = {{0950-7051}},
  journal      = {{KNOWLEDGE-BASED SYSTEMS}},
  keywords     = {{SUPPORT VECTOR MACHINES,VERIFICATION COMPETITION,PATTERN-CLASSIFICATION,FEATURE-EXTRACTION,SINGULAR POINTS,LEVEL,FUSION,RETRIEVAL,INFORMATION,BIOMETRICS,SYSTEM,Fingerprint recognition,Fingerprint identification,Fingerprint,classification,Large databases,Feature selection,Hierarchical,classification}},
  language     = {{eng}},
  pages        = {{91--103}},
  title        = {{Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection}},
  url          = {{http://dx.doi.org/10.1016/j.knosys.2017.03.014}},
  volume       = {{126}},
  year         = {{2017}},
}

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