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Face verification method and device

A face verification, face image technology, applied in the field of communication, can solve the problems of low face verification efficiency, low face verification accuracy, high professional technical requirements, etc., to achieve the effect of improving efficiency and accuracy

Active Publication Date: 2016-09-07
TENCENT TECH (SHENZHEN) CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] During the research and practice of the existing technology, the inventors of the present invention found that the existing image processing method for removing texture needs to be performed manually and has high requirements for the professional skills of the operators, which will lead to face verification. The efficiency is low, and the accuracy of face verification is not high

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  • Face verification method and device

Examples

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no. 1 example

[0036] In this embodiment, the description will be made from the perspective of the face verification apparatus, which may be specifically integrated in a network device such as a server.

[0037] A face verification method includes: obtaining a reticulated face image and an initial face image that need to be verified; and performing a de-reticulation operation on the reticulated face image using a preset de-reticulation model to obtain de-reticulation Face image; feature extraction of the de-reticulated face image through a preset de-reticulated face verification model to obtain de-reticulated face features, and pass the preset de-reticulated face verification model Perform feature extraction on the initial face image to obtain initial face features; based on the de-reticulated face feature and the initial face feature, perform a repetition on the corresponding de-reticulated face image and the initial face image. Face verification.

[0038] See Figure 1b , Figure 1b It is a sc...

no. 2 example

[0086] According to the method described in the first embodiment, an example will be given below for further detailed description.

[0087] In this embodiment, taking the face photo of the reticulated ID card and the self-portrait face photo of the user as an example, the verification process of the face photo of the reticulated ID card and the self-portrait face photo will be described in detail.

[0088] See Figure 2a , Figure 2a It is a schematic flowchart of the face verification method provided by the second embodiment of the present invention. The method flow mainly includes: S21, generating a de-screening model; S22, generating an ID card face-self-portrait face verification model; S23, generating a de-screening ID card face-self-portrait face verification model; S24, Verify the face image of the reticulated ID card and the self-portrait face image. It can be as follows:

[0089] S21: Generate a de-textured model.

[0090] Can be referenced together Figure 2b , Is a schema...

no. 3 example

[0134] To facilitate better implementation of the face verification method provided by the embodiment of the present invention, an embodiment of the present invention also provides an apparatus based on the above face verification method. The meanings of the nouns are the same as in the above-mentioned face verification method, and the specific implementation details can refer to the description in the method embodiment.

[0135] See Figure 3a , Figure 3a This is a schematic structural diagram of a face verification apparatus provided by an embodiment of the present invention, which may include an acquisition unit 301, a first de-texturing unit 302, a feature extraction unit 303, and a verification unit 304.

[0136] The acquiring unit 301 is used to acquire the reticulated face image and the initial face image that need to be verified; the first de-texturing unit 302 is configured to use a preset de-texturing model to analyze the reticulated face The image is de-textured to obta...

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Abstract

The invention discloses a face verification method and device. The method comprises: obtaining a textured face image and an initial face image needing verification; using a preset texture removing model to perform texture removing operation of the textured face image to obtain a de-textured face image; extracting features of the de-textured face image by means of a preset de-textured face verification model to obtain de-textured face features, and extracting features from the initial face image by means of the preset de-textured face verification model to obtain initial face features; and based on the de-textured face features and the initial face features, verifying the de-textured face image and the initial face image. According to the de-texture model and the de-textured face verification model trained in advance, the method conducts automatic processing and analysis of the textured face image and initial face image needing verification, with no need of manual operation by professionals. The method can automatically determine whether the textured face image and the initial face image are of the same person and improve the efficiency and accuracy of face verification.

Description

Technical field [0001] The invention belongs to the field of communication technology, and in particular relates to a face verification method and device. Background technique [0002] With the rapid development of Internet technology, it is particularly important to ensure the security of user accounts through face verification. Face verification is a branch of the field of face recognition. The use of face verification algorithms can automatically verify two face photos to determine whether they are the same person. This method can be used for user facial identity verification in multiple scenarios such as Internet finance. [0003] At present, in order to protect the privacy of citizens, a screened watermark is added when the photos are publicized to obtain screened photos, such as ID photos, social security card face photos, passport photos and other ID photos. When performing face verification on a textured photo, professionals need to use a denoising algorithm to remove the...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F21/32G06V10/764
CPCG06F21/32G06V40/168G06V40/172G06V10/454G06V10/82G06V10/764G06F21/45G06T7/0014G06T2207/30201G06T2207/20084G06V40/16
Inventor 汪铖杰李季檩梁亦聪
Owner TENCENT TECH (SHENZHEN) CO LTD
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