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

Seal recognition method and system based on deep learning and storage medium

A technology of deep learning and recognition method, applied in the field of seal recognition method, system and storage medium based on deep learning, can solve the problems of poor seal fan-shaped text correction effect, low text recognition accuracy, and few seal recognition scenes, etc. User satisfaction, reduced review time, and accurate seal recognition results

Pending Publication Date: 2022-01-07
SHANDONG LANGCHAO YUNTOU INFORMATION TECH CO LTD
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical task of the present invention is to provide a seal recognition method, system and storage medium based on deep learning to solve the problems of few seal recognition scenes, poor correction effect of seal fan-shaped characters and low accuracy of character recognition

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
  • Seal recognition method and system based on deep learning and storage medium
  • Seal recognition method and system based on deep learning and storage medium
  • Seal recognition method and system based on deep learning and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] as attached figure 1 Shown, the seal recognition method based on deep learning of the present invention, this method is specifically as follows:

[0061] S1. Obtain the image to be recognized, use the target detection model to detect the seal in the image to be recognized, and obtain the coordinate information and the type of the seal corresponding to the seal in the image to be recognized; wherein, the image to be recognized includes a circular seal, an oval seal, a rectangular seal and a square Seal; scenes to be recognized images include bills, contracts, licenses and red-headed documents;

[0062] S2. According to the coordinate information corresponding to the seal in the image to be recognized, cut out the image of the seal to be recognized;

[0063] S3. Use the image rotation angle classification model to identify the rotation angle of the image of the seal to be recognized, and correct the image of the seal to be recognized according to the rotation angle;

[...

Embodiment 2

[0093] as attached figure 2 Shown, the seal recognition system based on deep learning of the present invention, this system comprises,

[0094] The seal target detection module is used to obtain the image to be recognized, detect the seal in the image to be recognized through the target detection model, obtain all the seal images in the image to be recognized, and identify the corresponding type of each seal and the corresponding coordinates of the seal in the image to be recognized information; and according to the coordinate information corresponding to the seal in the image to be recognized, cut out the seal image to be recognized; wherein, the seal type includes a circular seal, an oval seal, a rectangular seal and a square seal;

[0095] The seal tilt correction module is used to use the image rotation angle classification model to identify the rotation angle of the seal image to be recognized, and correct the seal image to be recognized according to the rotation angle; ...

Embodiment 3

[0105] Example 3: Taking the letter of introduction stamped with the special seal of the Railway Engineering Headquarters Hospital as an example

[0106] (1) Obtaining the image of the letter of introduction as the image to be identified;

[0107] (2) Use the target detection model YOLOv5 to detect the seal in the image to be recognized obtained in step (1); specifically: after inputting the image to be recognized into the YOLOv5 model, the YOLOv5 model predicts the coordinate pixel information of the seal in the image, namely Generate the bounding box of the seal in the introduction letter, the bounding box is the x, y pixel coordinates of the upper left corner and the lower right corner of the seal in the image; and recognize that the seal type in the image to be recognized is a circular seal;

[0108] (3), according to the stamp pixel coordinate information of the image to be identified that is acquired, cut out the image of the seal to be identified on the image to be iden...

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 a seal recognition method and system based on deep learning and a storage medium, belongs to the technical field of machine vision, and aims to solve the technical problems of few seal recognition scenes, poor seal fan-shaped character correction effect and low character recognition accuracy.According to the technical scheme, he method includes: acquiring a to-be-recognized image; detecting a seal in the to-be-recognized image by using the target detection model, and obtaining coordinate information and a seal type corresponding to the seal in the to-be-recognized image; according to the coordinate information corresponding to the seal in the to-be-recognized image, cutting out the to-be-recognized seal image; using the image rotation angle classification model to recognize the rotation angle of the to-be-recognized seal image, and correcting the to-be-recognized seal image according to the rotation angle; detecting characters in the corrected to-be-recognized seal image by using a character detection model, acquiring coordinate information of the characters, and cutting a to-be-recognized character image according to the coordinate information of the characters; and according to the obtained seal type, recognizing the to-be-recognized character image by using a character recognition model to obtain a seal recognition result.

Description

technical field [0001] The present invention relates to the technical field of machine vision, in particular to a seal recognition method, system and storage medium based on deep learning. Background technique [0002] At present, the review of contracts, bills and other documents in government and enterprise matters is completed by auditors through manual review. The review content mainly involves checking whether the contract special seal is used in the contract, whether the seal specification is correct; whether the main text of the seal is consistent with The name of the enterprise in the contract is consistent; whether the content of the contract is consistent with the approval, etc. At this stage, the government service approval system cannot automatically verify the information and standardization of the special seal of the contract, and cannot accurately locate the location and category information of the seal. [0003] In view of the problems faced by systems such ...

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): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 吴运祥马凤强梁延灼刘琛安晓博
Owner SHANDONG LANGCHAO YUNTOU INFORMATION TECH CO LTD
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