Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Notebook paper and classification icon identification method

A recognition method and notebook technology, applied in the field of image recognition, can solve problems such as unsightly, time-consuming, waste of energy, time, energy, etc., achieve low computational complexity, solve the trouble of manual classification, and high operating efficiency Effect

Active Publication Date: 2021-05-25
杭州圣吉奥软件有限公司
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. During the shooting, it is easy to capture a large area of ​​background other than the notebook paper, which to a certain extent causes obstacles to reading the content of the paper in the photo, and it is not beautiful;
[0004] 2. When the photos taken are not ideal, in order to keep only the paper area in the photos, it is necessary to cut and process the photos, which takes a lot of time and energy;
[0005] 3. After the paper photos are processed, people like to classify their own photos. At this time, they need to manually put them into different categories one by one. This process will cause people to waste time and energy.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Notebook paper and classification icon identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0026] Embodiment: notebook paper and classification icon recognition method comprise the steps:

[0027] 1. Use a customized notebook: see the paper style of the notebook figure 1 As shown, there is a black border at least 3mm wide on each page, the color value of the black border is #000000, the width of the black border 2 on the left binding edge is greater than the width of the black border 3 on the other three sides, so that after opening Differentiate from the paper page on the left; there is a black area of ​​at least 2cm between the left and right pages, and the color value of the black area is #000000; the main color of the background color of each page is white, and the color value of the white background 1 is #FFFFFF, which can be Ensure more accurate identification of mentally handicapped areas; white background 1 is provided with paper lines 4 and classification icons 5, the color value of paper lines 4 and classification icons 5 is #F5F5F5; classification icons 5...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method for identifying notebook paper and classification icons, which includes the following steps: the notebook uses detachable paper, and each page is provided with a black edge at least 3 mm wide; the main color of the background of each page is white, and the white background is provided with paper lines and Classification icon; 2. Paper recognition: first input the image, perform image preprocessing, and then extract the circumscribed rectangle of the paper outline in the image, and finally output the coordinates of the four corners of the paper circumscribed rectangle in the shooting device; 3. Classify icon recognition: press Proportionally intercept the area where the classification icon is located, and traverse the area in equal proportions according to the width of the classification icon. The area with the most pixels with a pixel value of 0 is the classification area marked by the user, so as to determine the classification; more intelligent and fast classification, extremely Greatly improved user efficiency.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a notebook paper and classification icon recognition method. Background technique [0002] At present, in order to ensure that their handwritten notes will not be lost or damaged over time, people use their mobile phones to take pictures of the current paper pages and upload them to computers or the Internet, and then manually classify their handwritten notes one by one. This will face three problems: [0003] 1. During the shooting, it is easy to capture a large area of ​​background other than the notebook paper, which to a certain extent causes obstacles to reading the content of the paper in the photo, and it is not beautiful; [0004] 2. When the photos taken are not ideal, in order to keep only the paper area in the photos, it is necessary to cut and process the photos, which takes a lot of time and energy; [0005] 3. After the paper photos are processed, people...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/20G06K9/32
CPCG06V10/225G06V10/245
Inventor 雷亭
Owner 杭州圣吉奥软件有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products