| 摘要 |
<p>A pattern recognition apparatus that comprises an input section (102), a feature extraction module (108), a feature transform module (114), a recognition section that includes a recognition dictionary (120, 122), and a categorizer (118). The input section receives input patterns that include a pattern belonging to one of plural categories constituting a category set. The feature extraction module that expresses features of the pattern as a feature vecor. The feature transform module uses transform vector matrices to transform at least part of the feature vector to generate an at least partially transformed feature vector corresponding to each of the categories. The recognition dictionary stores both matching information (120) and transformed matching information (122) for each of the categories. The first transformed matching informtion has been transformed using the transform vector matrices. The recognition section generates at least one difference value for each of the categories by performing a matching operation between the matching information and the first transformed matching information on one hand, and at least one matching vector derived at least from the at least partially transformed feature vector corresponding to each of the categories on the other hand. The categorizer identifies the category to which the pattern belongs in response to the at least one difference value.</p> |
