Patent ID: 6466923
Filing Date: 2002-10-15
Classification: G06K,G16B

Abstract:
In a computing machine, a method for mapping a dataset representative of physical features to a specific pattern representative of physical objects wherein said dataset can be mapped intermediately to a spatially-defined image, said method comprising:selecting a basis for generating at least one probe set of data from a training dataset; creating at least one probe set composed of probes of partitionable, spatially-definable data from said training dataset on said computing machine for mating with patterns in known spatially-definable images to be recognized, each said probe of said probe set having a complementary value at selected image fragment positions among a preselected fraction of image fragments in key features in the spatially-defined image; inputting an unknown dataset to said computing machine; separating said unknown dataset into an ordering for decomposition; segmenting said unknown dataset into partitions corresponding to segmentation on said training dataset; applying said at least one probe set to said unknown dataset to identify with said patterns; and outputting said patterns associated with said selected image fragment positions of said unknown dataset specifying representations of physical objects associated with said patterns.