Patent ID: 6128398
Filing Date: 2000-10-03
Classification: G06K,G07C

Abstract:
A system for determining the likelihood that two object patterns arise from the dame object source, said system comprising:a. means for receiving first and second object patterns each including a plurality of feature components having a plurality of values;b. Means for assigning a predetermined weight to each said feature component in each of said object patterns, wherein the assigned weights are one of a plurality of weights in corresponding first and second weight sets in a neural network, wherein each weight set includes a plurality of weight subsets, each weight subset corresponding to the location of one of said feature components, wherein particular weights in each subset are assigned according to the value of the component; andc. means for determining an output of said neural network by calculating a comparison function of the assigned weights in the two respective weight sets, wherein the values of the weights are predetermined such that the output is a measure of the likelihood that two object patterns arise from the same object source, wherein the value of said predetermined weights are derived from a training procedure and are independent of the value of the feature component.