The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 26, 1998

Filed:

Mar. 22, 1994
Applicant:
Inventors:

Girolamo Gallo, Citta'Ducale, IT;

Cristina Lattaro, Rieta, IT;

Flavio Lucentini, Rome, IT;

Guilio Marotta, Rieti, IT;

Giuseppe Savarese, Naples, IT;

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K / ;
U.S. Cl.
CPC ...
382204 ; 382187 ;
Abstract

A method and apparatus for recognizing a script written character wherein the character is entered using character entering means and digitised by appropriate means. The digitised character is then stored in, for example, a memory. Codes representing topological and vector features of the character are extracted from the character, then the topological and vector features of the character are compared with topological and vector features of a plurality of reference characters defining a set of reference characters stored in a memory. Each of the reference characters included in the set corresponds to a specific script written character. A logic process is then performed to determine which reference character of the set of reference characters has topological and vector features most closely corresponding to the topological and vector features of the digitized character thereby identifying the script written character. In extracting the topological and vector features of the character to be recognized, the relative weighting of the topological features and the vector features can be varied for different types of script to enable still more accurate recognition.


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