Patent ID: 8345932
Filing Date: 2013-01-01
Classification: G06K

Abstract:
1. A biometric data processing system, comprising: at least one signal acquisition system for collecting biometric input; a feature extraction system for extracting feature vectors from the biometric input; and a support vector machine (SVM) having a plurality of kernel functions, wherein each kernel function is configured for mapping a feature vector to a high dimensional hyperspace structure, wherein the high dimensional hyperspace structure is defined as follows: H=Hyperspace Λ Ω φ ρ δ A α where i=sub-universe number, j=dimension number, k=operator number, l=cluster number, m=world number, where a cluster is defined as a set of all cluster members, each cluster member being vectored into a high dimensional space, where a sub-universe is defined as a set of dimensions, where for each dimension there exists an associated policy and a set of operators, the policy providing an association between operators or heuristics and a dimension, where a world automaton specifies the set of all data elements which belong to all clusters within a sub-universe and the universe, where a hyperspace automaton defines the universe of a problem domain, where each kernel function is a parametric function that projects dimensional data onto the high dimensional hyperspace structure, each kernel function including a plurality of multiple independent kernels, where defines a kernel function from a summation of the plurality of multiple independent kernels.