Electronic handwriting processor with convolutional neural networks
AssigneePearson Education, Inc.
InventorZhaodong Wang
Life of this patent
Estimating the term…
Abstract
An improved machine learning system is provided. For example, a content management server may provide real-time analysis of a user's handwriting to assess the user's knowledge of a language, including using a convolution neural network method.
Claims18
A computer-implemented method for automated handwriting assessment comprising:
- generating a digital representation of a handwritten user input;
- identifying strokes in the digital representation of the handwritten user input;
- storing the identified strokes;
- correcting at least some of the identified strokes;
- normalizing the at least some of the identified strokes;
- segmenting the digital representation of the handwritten user input into normalized digital strokes;
- determining at least one character associated with the normalized digital strokes;
- and
- generating a word hypothesis by applying a model to the at least one character.
A computing device for improving distribution and conversion of academic data, the content management system comprising:
- one or more processors;
- and
- one or memories coupled with the one or more processors, wherein the one or more processors and the one or more memories are configured to:
- generate a digital representation of a handwritten user input;
- identify strokes in the digital representation of the handwritten user input;
- store the identified strokes;
- correct at least some of the identified strokes;
- normalize the at least some of the identified strokes;
- segment the digital representation of the handwritten user input into normalized digital strokes;
- determine at least one character associated with the normalized digital strokes;
- and
- generate a word hypothesis by applying a model to the at least one character.
One or more computer-readable storage media collectively storing computer-executable instructions that, when executed by one or more computer systems, configure the one or more computer systems to collectively perform operations comprising:
- generating a digital representation of a handwritten user input;
- identifying strokes in the digital representation of the handwritten user input;
- storing the identified strokes;
- correcting at least some of the identified strokes;
- normalizing the at least some of the identified strokes;
- segmenting the digital representation of the handwritten user input into normalized digital strokes;
- determining at least one character associated with the normalized digital strokes;
- and
- generating a word hypothesis by applying a model to the at least one character.
Dependencies are inferred from the claim text.