Dynamic handwriting verification, handwriting-based user authentication, handwriting data generation, and handwriting data preservation

Patent metadata

Field	Value
Publication number	US-10846510-B2
Application number	US-201916685744-A
Country	US
Kind code	B2
Filing date	Nov 15, 2019
Priority date	Oct 25, 2013
Publication date	Nov 24, 2020
Grant date	Nov 24, 2020

Abstract

Handwriting verification methods and related computer systems, and handwriting-based user authentication methods and related computer systems are disclosed. A handwriting verification method comprises obtaining a handwriting test sample containing a plurality of available parameters, extracting geometric parameters, deriving geometric features comprising an x-position value and a y-position value for each of a plurality of feature points in the test sample, performing feature matching between geometric features of the test sample and a reference sample, determining a handwriting verification result based at least in part on the feature matching, and outputting the handwriting verification result. Techniques and tools for generating and preserving electronic handwriting data also are disclosed. Raw handwriting data is converted to a streamed format that preserves the original content of the raw handwriting data. Techniques and tools for inserting electronic handwriting data into a digital image also are disclosed.

First claim

The invention claimed is:

1. A computer system comprising:
a streamed data generating section configured to generate streamed data based on raw handwriting data, wherein the streamed data comprises a plurality of streams, wherein the streamed data generating section comprises a lossless stream adaptive encoder configured to adaptively encode the plurality of streams, wherein the raw handwriting data includes pen data associated with pen events, and wherein the pen data includes coordinate data, pressure data, inclination data, orientation data, twist data, or timing information; and
a lossy data processing section configured to generate stroke data and/or image data based on the raw handwriting data.

2. The computer system of claim 1 , further comprising an integrating section configured to integrate the streamed data and the stroke data and/or the image data into integrated data.

3. The computer system of claim 2 , wherein the integrated data comprises a digital image with the encoded handwriting data inserted therein.

4. A method executed in a computer system comprising one or more processors and memory, the method comprising:
generating streamed data based on raw handwriting data, wherein the streamed data comprises a plurality of streams, wherein the raw handwriting data includes pen data associated with pen events, and wherein the pen data includes coordinate data, pressure data, inclination data, orientation data, twist data, or timing information;
adaptively encoding the plurality of streams using a lossless stream adaptive encoder; and
generating stroke data and/or image data based on the raw handwriting data using lossy data processing.

5. The method of claim 4 , further comprising integrating the streamed data and the stroke data and/or the image data into integrated data.

6. The method of claim 5 , wherein the integrated data comprises a digital image with the encoded handwriting data inserted therein.

7. A computer-readable medium having stored thereon computer-executable instructions configured to cause one or more processors of a computer system to perform steps comprising:
generating streamed data based on raw handwriting data, wherein the streamed data comprises a plurality of streams, wherein the raw handwriting data includes pen data associated with pen events, and wherein the pen data includes coordinate data, pressure data, inclination data, orientation data, twist data, or timing information;
adaptively encoding the plurality of streams using a lossless stream adaptive encoder; and
generating stroke data and/or image data based on the raw handwriting data using lossy data processing.

8. The computer-readable medium of claim 7 , the steps further comprising integrating the streamed data and the stroke data and/or the image data into integrated data.

9. The computer-readable medium of claim 8 , wherein the integrated data comprises a digital image with the encoded handwriting data inserted therein.

Assignees

• Wacom Co Ltd

Inventors

• Holden Martin
• Mettyear Nicholas

Classifications

• G06V40/388

  Sampling; Contour coding; Stroke extraction · CPC title

• G06V30/347

  Sampling; Contour coding; Stroke extraction · CPC title

• G06V40/394 Primary

  Matching; Classification · CPC title

• G06V40/30

  Writer recognition; Reading and verifying signatures · CPC title

• G06V10/754

  involving a deformation of the sample pattern or of the reference pattern; Elastic matching · CPC title