Identity card quality inspection method and system based on deep learning

A deep learning and ID card technology, applied in the field of image processing, can solve the problems of difficult positive and negative sample recall indicators reaching a balance, unable to distinguish key areas of ID cards, etc.
CN112307937APending Publication Date: 2021-02-02GF SECURITIES CO LTD
0 Cites 2 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
GF SECURITIES CO LTD
Publication Date
2021-02-02

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides an identity card quality inspection method and system based on deep learning. The method comprises the steps: acquiring a first image containing an identity card image and a background image, preprocessing the first image to obtain a second image only containing the identity card image, inputting the second image into a set reflection quality inspection model for reflectionquality inspection to obtain a third image, and inputting the third image into a set fuzzy quality inspection model for fuzzy quality inspection to obtain a fourth image, wherein the set fuzzy qualityinspection model and the set reflective quality inspection model are both obtained according to the basic structure of SqueezeNet. According to the invention, the problem that a plurality of index thresholds need to be adjusted during identity card quality inspection in the traditional image processing technology and equalization is difficult to achieve on positive and negative sample recall indexes is solved, and a traditional image processing method for separating a reflective area from a non-reflective area by using brightness, gradient and color cast can not distinguish reflective areas (characters and head portraits) of an identity card from reflective areas of the non-critical area and can not identify Great Wall watermarks similar to reflective areas.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to an ID card quality inspection method and system based on deep learning. Background technique

[0002] With the development of Internet finance, on the one hand, the number of securities investment groups continues to expand, and the number of accounts opened in securities companies has increased significantly; Online account opening is a typical scenario. In the process of online account opening business, customers need to submit ID cards, account opening statement videos and other materials, and securities companies need to judge whether the quality of the ID cards, videos and other materials submitted by customers is qualified, such as whether the documents are reflective, blurred, blocked, missing corners, etc. , missing edges, whether there are reflections, blurs, occlusions in images and videos, and the account opening statement does not meet the requirements, etc....

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