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:
Sep. 22, 1998

Filed:

Feb. 14, 1997
Applicant:
Inventors:

Yoshifumi Sakai, Tokyo, JP;

Yoshitaka Ikeda, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K / ;
U.S. Cl.
CPC ...
382186 ;
Abstract

A method of recognizing handwritten characters. A recognition dictionary is prepared including a plurality of characters and corresponding character clusters. A weighting dictionary is prepared including weighting clusters and corresponding object characters. All segmentation position candidates are selected by segmenting handwritten character ink data. Each of the position candidates is separated in a direction corresponding to a direction in which the handwritten character ink data is inputted from a leading position of the ink data and satisfying a predetermined condition. A character candidate is selected corresponding to each segment of the ink data segmented at the segmentation position candidates by referring to the recognition dictionary and calculating a distance value between each of the segments of the ink data and a selected one of the character clusters. The weighting dictionary is referred to and the distance value calculated for one of the character candidates is weighted if one of the weighting clusters included in the weighting dictionary is similar to any one of the segments of the ink data segmented at the segmentation position candidates and if the object character of the one weighting cluster coincides with the one of the character candidates. A rank of the character candidates is determined in accordance with the weighted distance values thereof.


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