| 摘要 |
The invention provides a method and apparatus for evaluating class membership of a subject (22), by comparing an image derived from the subject with library images derived from known members of the class. Subject images are sequentially compared, preferably by optical correlation, to one or more composite images or "masks" which are each derived from a plurality of library images. Each library image is from a distinct member belonging to a defined class (for example, an ethnic group). A high degree of correlation indicates a high probability of the subject's membership in the class. A learning algorithm similar to a neural network training procedure is used to develop appropriate composite images representative of the class or classes to be recognized.
|
