1. A partition pattern template generation method for alignment of large positioning error where common area that can be always observed is small using partitioned pattern match and integration comprising one or more computers implementing: a) Inputting a learning image for template generation; b) Performing alignment within the known positioning error [Δ_x in the X direction and Δ_y in the Y direction]; c) Determining all possible areas [OR area] to be observed when alignment view is subjected to the known object positioning error and AND area is largest region where a template pattern could be selected and be guaranteed to appear in all alignment views when object is subjected to all possible positioning errors; d) Performing a plurality of partition template generation using a template generation region partition as template selection region and using the OR area as ambiguity check region; e) Determining best template region as the region yielding the maximum discrimination power within the template selection region wherein the discrimination power, Disc, for a given template is defined as: Disc = S ⁢ ( 1 - M 2 M 1 ) Where S is signal content of the given template and M 1 is maximum matching value and M 2 is second maximum matching value within the ambiguity check region.