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Fingerprint identification method and device, electronic equipment and storage medium

A fingerprint recognition and to-be-recognized technology, applied in the field of deep learning, can solve the problems of high time cost, low fingerprint recognition efficiency, poor generalization, etc., and achieve the effect of reducing time cost and improving generalization.

Pending Publication Date: 2020-08-04
BEIJING JIIOV TECH CO LTD
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

This method requires manual design of feature patterns, which leads to poor generalization in some application scenarios (such as identifying fingerprint images with a large amount of data), and at the same time leads to high design and development time costs, and fingerprint recognition less efficient

Method used

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  • Fingerprint identification method and device, electronic equipment and storage medium
  • Fingerprint identification method and device, electronic equipment and storage medium
  • Fingerprint identification method and device, electronic equipment and storage medium

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Embodiment Construction

[0066] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described implementation The examples are some of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0067] In order to improve the generalization of fingerprint identification, the present invention proposes a technical solution for identifying fingerprint images using a trained fingerprint identification model, which is described in detail through the following examples.

[0068] First, a convolutional neural network model can be...

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Abstract

The embodiment of the invention provides a fingerprint identification method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a to-be-identified fingerprint image; inputting a fingerprint image pair formed by combining the to-be-identified fingerprint image and a target fingerprint image into a fingerprint identification model; and when the matching probability output by the fingerprint identification model meets a preset condition, determining that the to-be-identified fingerprint image is matched with the target fingerprint image. By the adoption of the technical scheme, generalization and accuracy of fingerprint recognition can be improved, meanwhile, feature styles do not need to be designed manually, and time cost is reduced.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a fingerprint identification method, device, electronic equipment and storage medium. Background technique [0002] In the field of mobile terminals and security, fingerprint recognition is widely used due to its safety and convenience; now, with the continuous development of technologies such as full screens, optical fingerprint recognition technology is gradually becoming popular in security and other fields. Optical fingerprint recognition refers to obtaining fingerprint images optically, and judging whether two fingerprint images match through image processing technology. [0003] In related technologies, traditional image processing methods are used to extract feature points from fingerprint images, and then perform feature point matching operations to identify fingerprint images. This method requires manual design of feature patterns, which leads to poor gene...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/1365
Inventor 吴昌桥王春杰
Owner BEIJING JIIOV TECH CO LTD
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