| 摘要 |
<p>A biometric recognition system involves two phases: creation of a master pattern set of authorized users biometric indicia and authentication using a classification neural network. To create the master pattern set, an image of an authorized biometric user's indicia is divided into a plurality of regions of interest or 'features'. The system determines which features are the most useful for identification purposes. Master patterns are then created from these master features, thus creating a master set. During authentication, a sample pattern set of a user to be authenticated is similarly created. A neural network is used to compare the sample pattern set with the master pattern set to determine whether the user should be authenticated.</p> |
