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22 March 1999 Noisy fingerprint identification by artificial neural networks
Rosario Curbelo
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Proceedings Volume 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks; (1999) https://doi.org/10.1117/12.343059
Event: Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Neural Networks Fuzzy Systems, Evolutionary Systems and Virtual Re, 1998, Stockholm, Sweden
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.
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Rosario Curbelo "Noisy fingerprint identification by artificial neural networks", Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); https://doi.org/10.1117/12.343059
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KEYWORDS
Neural networks
Fingerprint recognition
Databases
Image quality
Digital filtering
Distortion
Gaussian filters
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