System and methods for computerized machine-learning based authentication of electronic documents including use of linear programming for classification
US9406030B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2012 |
| Grant date | Aug 2, 2016 |
| Priority date | — |
| Expiry date | May 1, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Electronic document classification comprising providing training documents sorted into classes; linear programming including selecting inputs which maximize an output, given constraints on inputs, the output maximized being a difference between: a. first estimated probability that a document instance will be correctly classified, by a classifier corresponding to given inputs, as belonging to its own class, and b. second estimated probability that document instance will be classified, by the classifier, as not belonging to its own class; and classifying electronic document instances into classes, using a preferred classifier corresponding, to the inputs selected by the linear programming. A computerized electronic document forgery detection method provides training documents and uses a processor to select value-ranges of non-trivial parameters, such that selected values-range(s) of parameters are typical to an authentic document of given class, and atypical to a forged document of same class.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.