LEARNING-BASED SYSTEM AND PROCESS FOR SYNTHESIZING CURSIVE HANDWRITING

Patent №

US 7,227,993

Granted

2007-06-05

Filed 2003

Owner

MICROSOFT CORPORATION

AI components

5

ml · nlp · vision · speech · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10353102

A process and system for modeling, learning and synthesizing cursive handwriting in a user's personal handwriting style. The handwriting synthesis system and process described herein addresses the problem of learning the personal handwriting style of a user based on limited handwriting samples and producing novel scripts of the same style. The handwriting synthesis process includes segmenting handwriting samples into individual characters using a two-level writer-independent segmentation process, aligning samples of the same character into a common coordinate frame, and learning and modeling the individual character. Synthesis of handwriting is performed by generating individual letters from the models and concatenating the letters using a conditional sampling algorithm. The result is a smooth and fluid connection between letters that successfully mimics the personal handwriting style of a user.

AI classification

Vision1.00
Machine learning1.00
AI hardware1.00
Speech1.00
Natural language1.00
Planning0.49
Knowledge representation0.00
Evolutionary computation0.00

Ownership

MICROSOFT CORPORATION

assignment · 137160903

Assignors

XU, YING-QING, SHUM, HEUNG-YEUNG, WANG, JUE, WU, CHENYU

On an employer assignment, the assignors are typically the inventors.

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