초록 ▼

A biometric recognition system involves two phases: creation of a master pattern set of authorized users biometric indicia and authentication using a classification neural network. To create the master pattern set, an image of an authorized biometric user's indicia is divided into a plurality of reg

A biometric recognition system involves two phases: creation of a master pattern set of authorized users biometric indicia and authentication using a classification neural network. To create the master pattern set, an image of an authorized biometric user's indicia is divided into a plurality of regions of interest or "features". The system determines which features are the most useful for identification purposes. Master patterns are then created from these master features, thus creating a master pattern set. During authentication, a sample pattern set of a user to be authenticated is similarly created. A neural network is used to compare the sample pattern set with the master pattern set to determine whether the user should be authenticated.

대표청구항 ▼

[ What is claimed is:] [13.] A method for generating a master pattern set of a biometric indicia of a user, comprising the steps of:(a) acquiring an image of the biometric indicia to produce a biometric pattern image, wherein the biometric pattern image includes a plurality of features;(b) comparing

[ What is claimed is:] [13.] A method for generating a master pattern set of a biometric indicia of a user, comprising the steps of:(a) acquiring an image of the biometric indicia to produce a biometric pattern image, wherein the biometric pattern image includes a plurality of features;(b) comparing each feature in the biometric pattern image with all other features in the biometric pattern image;(c) assigning a uniqueness value to each feature in the biometric pattern image based on the results of comparing step (b);(d) choosing, based on the uniqueness values, from the features in the biometric pattern image a plurality of master features;(e) defining master patterns based on the master features;(f) storing the master patterns and master features as the master pattern set,wherein assigning step (c) uses the following equation: ]EQU7 ] where S is the set of all m-by-m features in an image, with the exception of R, which is a reference feature; R.sub.ij is an (i, j)th pixel gray in feature R; I.sub.ij is an (i, j)th pixel gray level in I; and R and I are mean gray levels within the respective features.