Information identification method based on deep learning and related equipment

A technology of information identification and deep learning, applied in the field of information identification methods and related equipment based on deep learning, can solve the problems of inability to identify elements and low accuracy of information, and achieve the effect of avoiding information falsification and accelerating accuracy and speed

Active Publication Date: 2019-11-26
PING AN TECH (SHENZHEN) CO LTD
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide an information based on deep learning to solve the problem of low information accuracy and the inability to quickly and effectively identify the elements in the lender's work scene image when identifying the lender's identity information. Identification method and related equipment

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
  • Information identification method based on deep learning and related equipment
  • Information identification method based on deep learning and related equipment
  • Information identification method based on deep learning and related equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0061] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof.

[0062] figure 1 It is an overall flowchart of a...

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 relates to the technical field of image classification and recognition, in particular to an information identification method based on deep learning and related equipment, and the methodcomprises the steps: extracting a geographic position from to-be-authenticated information, and extracting a corresponding background image from a database according to the geographic position; acquiring a plurality of sample scene images of different working scenes, and adding the sample scene images into a convolutional neural network model for training to obtain a scene classification model; taking a real-time scene image as a to-be-classified sample, and adding the to-be-classified sample into the scene classification model for classification to obtain scene image category information; extracting scene features in the scene image; and extracting image feature points of the background image, and comparing the image feature points with the scene features. According to the application, scene information verification is introduced when the loan qualification of the loaner is audited, so that the problem that the loaner obtains the loan application qualification through the virtual working condition is avoided.

Description

technical field [0001] The present application relates to the technical field of image classification and recognition, and in particular to an information recognition method and related equipment based on deep learning. Background technique [0002] With the continuous development of economy and society, credit business has penetrated into all social strata, affecting the operation of enterprises, institutions, organizations and personal life. At the same time, credit anti-fraud technology has become the basis for the normal operation of credit business. At present, in the loan review process, it is necessary to collect multiple pieces of information on the identity of the lender and then compare them to determine the identity of the lender. [0003] Although, there are already many screening methods for fraudulent behaviors in the market, such as micro-expression recognition, data reliability recognition, etc. However, at present, when identifying the identity information ...

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 Applications(China)
IPC IPC(8): G06K9/34G06K9/62G06Q40/02G06K9/00
CPCG06V40/172G06V40/45G06V10/267G06Q40/03G06F18/241G06F18/214
Inventor 张起
Owner PING AN TECH (SHENZHEN) CO LTD
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