Patent ID: 7133854
Filing Date: 2006-11-07
Classification: G06T

Abstract:
1. Method for encoding an input pattern of each of a succession of input signals using a normalizer and a classifier during a learning phase, said input pattern being characterized by an essential feature or shape and at least one main parameter, wherein said main parameter is an element susceptible of modifying the input pattern but not the shape, comprising the steps of: establishing a reference value for the main parameter; applying said input pattern for each of said succession of input signals to a normalizer that computes a main factor which measures an offset difference between the main parameter value of said input pattern and said reference value, and that sets the input pattern at said reference value as a normalized pattern using said main factor; applying said normalized pattern for each of said succession of input signals and the category associated thereto by the user to a classifier; and, storing the normalized pattern of a first input signal of said succession of input signals in the classifier as a prototype; wherein said normalized pattern, said category and said main factor represent the encoded pattern; and classifying individual ones of said input signals following said first input signal by use of the stored prototype of said first input signal, wherein, in said classifying, an input signal pattern is compared with the stored prototype.