Patent ID: 7113637

Claim:
A method of aggregating a plurality of recognition results comprising the steps of: receiving a segmented target object and at least one transform of the segmented target object; performing at least one pattern recognition algorithm on the segmented target object and the at least one transform to generate a plurality of recognition results; aggregating the plurality of recognition results to determine a recognition decision; and outputting the recognition decision, wherein aggregating the plurality of recognition results is according to an equation: G i ( S k ( F o ( x )), . . . , S k ( F N ( x )))=max S k ( F n ( x )) from 0 to N , wherein: x denotes a segmented pattern in the segmented target object with N number of transforms performed, where n is 1≦n≦N; k denotes a pattern class; F N (x) denotes an extracted feature of an Nth transformed image, where F o (x) is an extracted feature of an original input pattern x; S k (F o (x)) denotes a probability that F o (x) belongs to a class k; and G i (S k (F o (x)), . . . , S k (F N (x))) is an aggregation rule function indicating a possibility that S k (F o (x)), . . . , S k (F N (x)) belongs to a class.