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Proceedings Paper

Noisy fingerprint identification by artificial neural networks
Author(s): Rosario Curbelo
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Paper Abstract

The objective of this work is to experiment neural networks methodology on noisy fingerprint identification. Several models for fingerprint codification based on minutiae characteristics were designed and implemented in this work. The ENH preprocessing software was used and tested and several improvements were implemented. The Competitive Selective neural network MCSL was used in the codification procedure in all models.

Paper Details

Date Published: 22 March 1999
PDF: 18 pages
Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); doi: 10.1117/12.343059
Show Author Affiliations
Rosario Curbelo, Univ. de la Republica (Uruguay)


Published in SPIE Proceedings Vol. 3728:
Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks
Thomas Lindblad; Mary Lou Padgett; Jason M. Kinser, Editor(s)

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