REAL-TIME STROKE-ORDER AND STROKE-DIRECTION INDEPENDENT HANDWRITING RECOGNITION

• US 20140361983A1
• Filed: 05/30/2014
• Published: 12/11/2014
• Est. Priority Date: 06/09/2013
• Status: Abandoned Application

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: DOLFING, Jannes G., BELLEGARDA, Jerome R., MEIER, Ueli, DIXON, Ryan
• Application Number:
  US14/292,138
• Publication Number:
  US 20140361983A1
• Time in Patent Office: Days
• US Class Current: 345/156
• CPC Class Codes: G06F 3/018 Input/output arrangements for oriental characters
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06V 30/32 Digital ink

Abstract

Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.

Claims

1. A non-transitory computer-readable media having instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising:

receiving a plurality of handwritten strokes from a user, the plurality of handwritten strokes corresponding to a handwritten character;

generating an input image based on the plurality of handwritten strokes;

providing the input image to a handwriting recognition model to perform real-time recognition of the handwritten character, wherein the handwriting recognition model provides stroke-order independent handwriting recognition; and

displaying in real-time of receiving the plurality of handwritten strokes, an identical first output character irrespective of a respective order by which the plurality of handwritten strokes have been received from the user.

2. The media of claim 1, wherein the handwriting recognition model provides stroke-direction independent handwriting recognition, and wherein displaying the identical first output character further comprises:

displaying in response to receiving the plurality of handwritten strokes, the identical first output character irrespective of a respective stroke direction by which each of the plurality of handwritten strokes have been provided by the user.

3. The media of claim 1, wherein the handwriting recognition model provides stroke-count independent handwriting recognition, and wherein displaying the identical first output character further comprises:

displaying in response to receiving the plurality of handwritten strokes, the identical first output character irrespective of how many handwritten strokes are used to form a continuous stroke in the input image.

4. The media of claim 1, wherein stroke-order independent handwriting recognition is performed independent of temporal information associated with individual strokes within the handwritten character.

5. The media of claim 1, comprising instructions, which when executed by the one or more processors, cause the processors to perform operations comprising:

receiving a second plurality of handwritten strokes from the user, the second plurality of handwritten strokes corresponding to a second handwritten character;

generating a second input image based on the second plurality of handwritten strokes;

providing the second input image to the handwriting recognition model to perform real-time recognition of the second handwritten character; and

displaying in real-time of receiving the second plurality of handwritten strokes, a second output character corresponding to the second plurality of handwritten strokes, wherein the first output character and the second output character are concurrently displayed in a spatial sequence independent of a respective order by which the first plurality of handwriting inputs and the second plurality of handwriting inputs have been provided by the user.

6. The media of claim 5, wherein the spatial sequence of the first output character and the second output character corresponds to a spatial distribution of the first plurality of handwritten strokes and the second plurality of strokes along a default writing direction of a handwriting input interface of the user device.

7. The media of claim 5, wherein the first handwritten character is provided by the user as part of a first handwritten sentence, and the second handwriting character is provided by the user as part of a second handwritten sentence, and wherein the first and the second handwritten sentences are concurrently displayed in a handwriting input area of the user device.

8. The media of claim 5, wherein the second plurality of handwritten strokes are received temporally after the first plurality of handwritten strokes, and the second output character precedes the first output character in a spatial sequence along a default writing direction of a handwriting input interface of the user device.

9. The media of claim 5, wherein the second plurality of handwritten strokes spatially follow the first plurality of handwritten strokes along a default writing direction of a handwriting input interface of the user device, and the second output character follows the first output character in a spatial sequence along the default writing direction, and wherein the media, comprising instructions, which when executed by the one or more processors, cause the processors to perform operations comprising:

receiving a third handwritten stroke from the user to revise the handwritten character, the third handwritten stroke being received temporally after the first and the second plurality of handwritten strokes;

in response to receiving the third handwritten stroke, assigning the third handwritten stroke to a same recognition unit as the first plurality of handwritten strokes based on relative proximity of the third handwritten stroke to the first plurality of handwritten strokes;

generating a revised input image based on the first plurality of handwritten stroke and the third handwritten stroke;

providing the revised input image to the handwriting recognition model to perform real-time recognition of the revised handwritten character; and

displaying in response to receiving the third handwriting input, a third output character corresponding to the revised input image, wherein the third output character replaces the first output character and is concurrently displayed with the second output character in the spatial sequence along the default writing direction.

10. The media of claim 9, comprising instructions, which when executed by the one or more processors, cause the processors to perform operations comprising:

while the third output character and the second output character are concurrently displayed as a recognition result in a candidate display area of the handwriting input interface, receiving a deletion input from the user; and

in response to the deletion input, deleting the second output character from the recognition result, while maintaining the third output character in the recognition result.

11. The media of claim 10, comprising instructions, which when executed by the one or more processors, cause the processors to perform operations comprising:

rendering in real-time the first plurality of handwritten strokes, the second plurality of handwritten strokes, and the third handwritten stroke in the handwriting input area of the handwriting input interface as each of said handwritten stroke is provided by the user; and

in response to receiving the deletion input, deleting a respective rendering of the second plurality of handwritten strokes from the handwriting input area, while maintaining respective renderings of the first plurality of handwritten strokes and the third handwritten stroke in the handwriting input area.

12. The media of claim 1, wherein the handwritten character is a multi-stroke Chinese character.

13. The media of claim 1, wherein the first plurality of handwritten strokes are provided in a cursive writing style.

14. The media of claim 1, wherein the first plurality of handwritten strokes are provided in a cursive writing style and the handwritten character is a multi-stroke Chinese character.

15. The media of claim 9, comprising instructions, which when executed by the one or more processors, cause the processors to perform operations comprising:

establishing respective predetermined constraints on a set of acceptable dimensions for a handwritten character input; and

segmenting a currently accumulated plurality of handwritten strokes into a plurality of recognition units based on the respective predetermined constraints, wherein a respective input image is generated from each of the recognition units, provided to the handwriting recognition model, and recognized as a corresponding output character.

16. The media of claim 15, comprising instructions, which when executed by the one or more processors, cause the processors to perform operations comprising:

receiving an additional handwritten stroke from the user after having segmented the currently accumulated plurality of handwritten strokes into the plurality of recognition units; and

assigning the additional handwritten stroke to a respective one of the plurality of recognition units based on a spatial position of the additional handwritten stroke relative to the plurality of recognition units.

17. A method of providing real-time handwriting recognition, comprising:

at a device having one or more processors and memory;

receiving a plurality of handwritten strokes from a user, the plurality of handwritten strokes corresponding to a handwritten character;

generating an input image based on the plurality of handwritten strokes;

providing the input image to a handwriting recognition model to perform real-time recognition of the handwritten character, wherein the handwriting recognition model provides stroke-order independent handwriting recognition; and

displaying in real-time of receiving the plurality of handwritten strokes, an identical first output character irrespective of a respective order by which the plurality of handwritten strokes have been received from the user.

18. A system, comprising

one or more processors;

and

memory having instructions stored thereon, the instructions, when executed by the one or more processors, cause the processors to perform operations comprising;

receiving a plurality of handwritten strokes from a user, the plurality of handwritten strokes corresponding to a handwritten character;

generating an input image based on the plurality of handwritten strokes;

providing the input image to a handwriting recognition model to perform real-time recognition of the handwritten character, wherein the handwriting recognition model provides stroke-order independent handwriting recognition; and

displaying in real-time of receiving the plurality of handwritten strokes, an identical first output character irrespective of a respective order by which the plurality of handwritten strokes have been received from the user.