Noisy fingerprint identification by artificial neural networks
Rosario Curbelo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
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.