Interactive picture verification method based on semantic comprehension

A technology of picture verification and semantic understanding, which is applied in the field of network verification, can solve problems such as difficult machine automatic recognition, and achieve the effect of preventing automatic recognition and simple and convenient operation

Active Publication Date: 2020-08-11
闽南科技学院
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The question to be verified and the picture of the candidate code generated by this method are easy to identify and operate for the user, but they are not easy to be automatically identified by the machine

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
  • Interactive picture verification method based on semantic comprehension
  • Interactive picture verification method based on semantic comprehension
  • Interactive picture verification method based on semantic comprehension

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] An embodiment of the present invention introduces an interactive picture verification method based on semantic understanding.

[0060] Combine below figure 1 The basic flow of an interactive picture verification method based on semantic understanding according to an embodiment of the present invention is described. Such as figure 1 As shown, the main implementation steps of the method are as follows:

[0061] 1. Generate questions to be verified

[0062] The verifier (server) is provided with a base attribute library for generating questions to be verified. Each attribute can be selected from the basic attribute library according to different scenarios. This attribute determines the various meanings contained in the question to be verified. The user needs to understand the meaning of the question before entering the verification code correctly. The basic format of the question to be verified is:

[0063] Please find a picture containing N J-color K shapes in the fo...

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 belongs to the technical field of network verification, and discloses an interactive picture verification method based on semantic comprehension, which comprises the following steps: 1)generating a to-be-verified problem: randomly selecting a plurality of attributes from a basic attribute library for generating the to-be-verified problem, and randomly setting attribute values of theattributes; generating a to-be-verified problem according to the selected attribute and attribute value; 2) generating a specified number of verification pictures according to attributes and attribute values corresponding to the to-be-verified problem, generating a verification picture output sequence, generating non-verification pictures, and forming candidate code pictures according to the verification picture output sequence; 3) displaying the to-be-verified problem and the candidate code picture; 4) receiving pictures clicked by the user in the candidate code pictures, and recording a position sequence of the clicked pictures; and 5) comparing the position sequences of the verification picture output sequence and the click picture, if the position sequences are the same, the verification is passed, If the position sequences are different, the verification is not passed. The to-be-verified problem and the candidate code picture generated by the method are easy to identify and operate by a user, but are not easy to automatically identify by a machine.

Description

technical field [0001] The invention belongs to the technical field of network verification, and in particular relates to an interactive picture verification method based on semantic understanding. Background technique [0002] Captchas are used during network verification to distinguish whether an access requester is a computer program or a person. In network verification, the computer as the server will automatically generate a question to be verified for the user to answer. This question to be verified can be generated and judged by a computer, but only a human can answer it. Since the computer cannot answer the question to be verified (feedback the correct verification code to the computer), the user who answers the question to be verified can be regarded as a human being. Verification codes are often used to prevent Trojan horses and other programs from maliciously cracking passwords, swiping tickets, and flooding forums. The verification code is usually composed of ...

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): G06F21/36
CPCG06F21/36
Inventor 匡凤飞艾春风曾党泉
Owner 闽南科技学院
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap