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

Image identification method and system

An image recognition and image technology, applied in the field of image recognition, can solve problems such as inaccurate recognition, achieve high recognition accuracy, reduce storage capacity, and ensure integrity

Inactive Publication Date: 2015-12-09
CTRIP COMP TECH SHANGHAI
View PDF2 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide an image recognition method and system in order to overcome the defect of inaccurate recognition of special characters such as deformed characters or handwritten characters in the prior art

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
  • Image identification method and system
  • Image identification method and system
  • Image identification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] An image recognition method such as figure 1 As shown, the image recognition method includes:

[0074] Step 101. Perform grayscale processing on the picture to be recognized.

[0075] Step 102, performing binarization processing on the image after the gray scale processing.

[0076] Step 103, performing stroke processing on the image included in the binarized picture. Specifically, paint the edges of the image white.

[0077] Step 104, removing isolated pixels in the image. The process of removing isolated pixels is as follows: the image is divided into multiple 3×3 image regions. For each 3×3 image area, if the pixel at the middle position is white and the 8 pixels adjacent to the pixel at the middle position are all black, then the pixel at the middle position is changed to black; If the pixel at the middle position is black and the 8 pixels adjacent to the pixel at the middle position are all white, then change the pixel at the middle position to white. Such as...

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

The invention discloses an image identification method and system. The image identification method includes the steps of: S1. obtaining from a picture to be identified an image contained by the picture; S2. segmenting the image into a plurality of slices, each slice containing a character; S3. according to pixel points of each slice, calculating shape context corresponding to each slice; and S4. searching according to a characteristic value of the shape context, and finding a sample closest to the character contained by the slice as an identification result. The image identification method provided by the invention can overcome the defect in the prior art that identification of special characters such as transformed characters or handwritten characters is inaccurate, accurately identifies special characters which are scaled, rotated, overlapped and distorted, reduces required sample files, reduces time required by identification, and improves identification efficiency.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to an image recognition method and system. Background technique [0002] At present, computer software usually uses standard OCR (Optical Character Recognition) or templates for matching when performing character recognition. These solutions can only handle standard characters, and need to provide a large number of sample library files. and distorted characters, which makes it very difficult for existing technologies to recognize special characters such as deformed characters or handwritten characters, and lacks accuracy. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide an image recognition method and system in order to overcome the defect of inaccurate recognition of special characters such as deformed characters or handwritten characters in the prior art. [0004] The present invention solves the above technical proble...

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
IPC IPC(8): G06K9/68
CPCG06V30/1988
Inventor 何晓力张勇李可玮
Owner CTRIP COMP TECH SHANGHAI
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com