Method and apparatus for automated recognition of text embedded in cluttered observations

A method, and related apparatus, for recognizing alphanumeric characters within a sample includes applying ideal alphanumeric character templates to the sample to identify each template which is included substantially within the sample. A template will be considered to be included substantially within the sample even if the sample has portions thereof with which the template does not substantially correspond or substantially match. That is, a template can be considered to be included substantially within the sample even if the template and the sample do not have a substantially one-to-one symmetrical correspondence. Of all of the templates which are identified as included substantially within the sample, the template having the most information (e.g., the template which requires the largest number of data points to define its shape) is selected as a recognized version of the sample.