Patent · US Expired

Pattern recognition system with statistical classification

US5537488A · kind A · utility

53Cited by
11References
40Claims
0Family size

Assignee

Inventors

Key dates

Filing dateSep 16, 1993
Grant dateJul 16, 1996
Priority date
Expiry dateSep 16, 2013

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06F18/24147
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A pattern recognition system is described. During training, multiple training input patterns from multiple classes of subjects are grouped into clusters within categories by computing correlations between the training patterns and present category definitions. After training, each category is labeled in accordance with the peak class of patterns received within the cluster of the category. If the domination of the peak class over the other classes in the category exceeds a preset threshold, then the peak class defines the category. If the contrast does not exceed the threshold, then the category is defined as unknown. The class statistics for each category are stored in the form of a training class histogram for the category. During testing, frames of test data are received from a subject and are correlated with the category definitions. Each frame is associated with the training class histogram for the closest correlated category. For multiple-frame processing, the histograms are combined into a single observation class histogram which identifies the subject with its peak class within a predefined degree of confidence. The system is incrementally trainable such that new training d…

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.