Handwritten Character Recognition System

• US 20110293181A1
• Filed: 08/07/2011
• Published: 12/01/2011
• Est. Priority Date: 10/15/2001
• Status: Active Grant

• Current Assignee: Silverbrook Research Pty Limited
• Original Assignee: Silverbrook Research Pty Limited
• Inventors: Napper, Jonathon Leigh
• Granted Patent: US 8,280,168 B2
• Time in Patent Office: Days
• US Class Current: 382/179
• CPC Class Codes: G06V 30/1423 the instrument generating sequences of position coordinates corresponding to handwriting preprocessing or recognising digital ink G06V30/32
• CPC Class Codes: G06V 30/244 using graphical properties, e.g. alphabet type or font

Abstract

A character classification system is disclosed. The character classification system has an input device for receiving a handwritten input character, and a processor. The processor is configured to, for each character model, each character model being associated with an output character and defining a model specific segmentation scheme for that output character and an associated segment model, the model specific segmentation scheme defining a minimum length corresponding to a number of points in a stroke of the output character: (i) decompose the handwritten input character into one or more segments in accordance with the model specific segmentation scheme of the respective character model; and (ii) evaluate the one or more segments against the segment model of the respective character model to produce a score indicative of the conformity of the one or more segments with the segment model. The processor then selects the character model that produced the highest score, and classifies the handwritten input character as the output character associated with the character model that produces the highest score.

Claims

1. A character classification system comprising:

an input device for receiving a handwritten input character; and

a processor configured to, for each of a plurality of character models, each character model being associated with an output character and defining a model specific segmentation scheme for that output character and an associated segment model, the model specific segmentation scheme defining a minimum length corresponding to a number of points in a stroke of the output character;

(i) decompose the handwritten input character into one or more segments in accordance with the model specific segmentation scheme of the respective character model; and

(ii) evaluate the one or more segments against the segment model of the respective character model to produce a score indicative of the conformity of the one or more segments with the segment model;

the processor being further configured to select the character model that produced the highest score, and classify the handwritten input character as the output character associated with the character model that produces the highest score.

2. The character classification system of claim 1, wherein each character model has a plurality of associated model specific segmentation schemes.

3. The character classification system of claim 2, wherein the processor, for each character model, determines whether the input character is capable of being segmented with one of the segmentation schemes, and if the input character is incapable of be segmented, the processor changes the segmentation scheme.

4. The character classification system of claim 1, wherein the input character is classified as any one of a letter, a number, or a punctuation mark.

5. The character classification system of claim 1, wherein the model specific segmentation scheme further defines a minimum length threshold of segments.

6. The character classification system of claim 1, wherein different rules are defined for decomposing the handwritten input character into one or more segments for different character models.

7. The character classification system of claim 1, wherein fuzzy logic rules are used in evaluating the one or more segments against the segment model of the respective character model.