Name
Abstract | ||
|---|---|---|
In this paper a multi-expert signature verification system is presented. The system has been specifically designed for applications in the field of bankcheck processing. For this purpose, it combines three different algorithms for signature verification. A wholistic approach is used in the first algorithm, a component-oriented approach is used in the second and third algorithms. The second algorithm is based on a structure-based procedure, the third algorithm uses a highly-adaptive neural network. The three algorithms are combined in the multi-expert system by a voting strategy. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1142/S0218001497000378 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
bankcheck processing system, static signature verification, neural network, clustering, multi-expert approach | Data mining,Cashier's check,Voting,Computer science,Document processing,Expert system,Artificial intelligence,Cluster analysis,Artificial neural network,Machine learning,Verification system | Journal |
Volume | Issue | ISSN |
11 | 5 | 0218-0014 |
Citations | PageRank | References |
28 | 1.83 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giovanni Dimauro | 1 | 190 | 24.09 |
| Sebastiano Impedovo | 2 | 217 | 26.47 |
| Giuseppe Pirlo | 3 | 234 | 34.30 |
| A. Salzo | 4 | 157 | 14.06 |