IP Library › Granted Patent US 11,823,358
Granted Patent B2
US 11,823,358 · App. 17/791,220 · Granted Nov 21, 2023

Handwritten content removing method and device and storage medium

Inventors: Tao He (Zhejiang, CN); Huan Luo (Zhejiang, CN); Mingquan Chen (Zhejiang, CN)
Assignee: Hangzhou Dana Technology Inc.
G06T5/005G06V30/15G06V30/162G06V30/1801G06V30/2455G06V30/42G06T2207/30176G09B3/02
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Quick Facts
Patent No.
US 11,823,358
App. No.
17/791,220
Granted
Nov 21, 2023
Kind
B2
Abstract

A handwritten content removing method and device and a storage medium. The handwritten content removing method comprises: acquiring an input image of a text page to be processed, the input image comprising a handwritten region, which comprises a handwritten content (S 10 ); identifying the input image so as to determine the handwritten content in the handwritten region (S 11 ); and removing the handwritten content in the input image so as to obtain an output image (S 12 ).

Claims (33)

1. A handwritten content removing method, comprising:

acquiring an input image of a text page to be processed, wherein the input image comprises a text printed region and a handwritten region, the text printed region comprises printed content and the handwritten region comprises handwritten content;

using a region identification model to identify the input image to obtain the text printed region and the handwritten region and determine the handwritten content in the handwritten region; and

removing the handwritten content in the input image to obtain an output image.

2. The handwritten content removing method according to claim 1 , wherein the step of removing the handwritten content in the input image to obtain the output image comprises:

labeling the handwritten region to obtain a handwritten region labeling frame, wherein the handwritten region labeling frame comprises the handwritten region; and

cutting and removing the handwritten region labeling frame from the input image to obtain the output image.

3. The handwritten content removing method according to claim 2 , wherein the step of cutting and removing the handwritten region labeling frame from the input image to obtain the output image comprises:

cutting and removing the handwritten region labeling frame from the input image to obtain an intermediate output image; and

performing a binarization process on the intermediate output image to obtain the output image.

4. The handwritten content removing method according to claim 1 , wherein

after using the region identification model to identify the input image to obtain the text printed region and the handwritten region, further comprising:

using a pixel identification model to perform pixel identification on the handwritten region to determine handwritten content pixels corresponding to the handwritten content in the handwritten region.

5. The handwritten content removing method according to claim 4 , wherein the step of removing the handwritten content in the input image to obtain the output image comprises:

acquiring a replacement pixel value; and

replacing pixel values of the handwritten content pixels with the replacement pixel value, so as to remove the handwritten content from the input image to obtain the output image.

6. The handwritten content removing method according to claim 5 , wherein the step of replacing the pixel values of the handwritten content pixels with the replacement pixel value so as to remove the handwritten content from the input image to obtain the output image comprises:

replacing the pixel values of the handwritten content pixels with the replacement pixel value, so as to remove the handwritten content from the input image to obtain an intermediate output image; and

performing a binarization process on the intermediate output image to obtain the output image.

7. The handwritten content removing method according to claim 5 , wherein the replacement pixel value is the pixel value of any pixel in the handwritten region except for the handwritten content pixels; or

the replacement pixel value is an average value of pixel values of all pixels in the handwritten region except for the handwritten content pixels.

8. The handwritten content removing method according to claim 1 , wherein the text page to be processed is an exam paper or a worksheet, the printed content comprises a question stem, and the handwritten content comprises an answer.

9. The handwritten content removing method according to claim 1 , wherein the handwritten content comprises handwritten characters.

10. The handwritten content removing method according to claim 1 , wherein the step of acquiring the input image of the text page to be processed comprises:

acquiring an original image of the text page to be processed, wherein the original image comprises a text region to be processed,

performing edge detection on the original image to determine the text region to be processed in the original image; and

performing a correction process on the text region to be processed to obtain the input image.

11. A handwritten content removing device, characterized by comprising:

a memory, configured for non-transitory storage of a computer-readable instruction; and

a processor, configured for executing the computer-readable instruction, wherein the computer-readable instruction executes the handwritten content removing method according to claim 1 when being executed by the processor.

12. The handwritten content removing device according to claim 11 , wherein further comprising an image acquisition component,

wherein the image acquisition component is configured for acquiring a homework image, the memory is configured for storing the homework image, and the processor is further configured for reading and processing the homework image to obtain the input image.

13. A storage medium, configured for non-transitory storage of a computer-readable instruction, wherein the computer-readable instruction executes the handwritten content removing method according to claim 1 when being executed by a computer.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 8, 2022
From: HE, TAO; LUO, HUAN; CHEN, MINGQUAN
To: HANGZHOU DANA TECHNOLOGY INC.
Reel/Frame 060457/0172 →
Priority Claims (1)
CN 202010072431.4 · Jan 21, 2020 · national
Continuity (1)
Related Publication 20230037272A1 · Feb 2, 2023
Cited By (1)
US 12,645,867