Name
Abstract | ||
|---|---|---|
This paper proposes a novel fingerprint classification method. It uses an SPCNN (Simplified Pulse Coupled Neural Network) to estimate directional image of fingerprint, and quantizes them to obtain fingerprint vector. Then, a fully trained LVQ (Learning Vector Quantization) neural network is used as classifier for the fingerprint vector to determine the corresponding fingerprint classification. Experiments show this proposed method is robust and has high classification accuracy. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11881070_55 | ICNC (1) |
Keywords | Field | DocType |
neural network,learning vector quantization | Pattern recognition,Computer science,Learning vector quantization,Fingerprint,Vector quantization,Artificial intelligence,Classifier (linguistics),Artificial neural network,Machine learning | Conference |
Volume | Issue | ISSN |
4221 LNCS - I | null | 0302-9743 |
ISBN | Citations | PageRank |
3-540-45901-4 | 1 | 0.36 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luping Ji | 1 | 149 | 10.31 |
| Zhang Yi | 2 | 1765 | 194.41 |
| Xiaorong Pu | 3 | 85 | 11.17 |