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Liveness detection, image classification and model training method, device, equipment and medium

A technology for model training and live detection, applied in the field of image processing, can solve the problems affecting the detection speed and time-consuming, and achieve the effect of improving the detection speed

Active Publication Date: 2021-09-03
MASHANG CONSUMER FINANCE CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, this method requires the detected object to cooperate with the action, which is time-consuming, thus affecting the detection speed

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  • Liveness detection, image classification and model training method, device, equipment and medium
  • Liveness detection, image classification and model training method, device, equipment and medium
  • Liveness detection, image classification and model training method, device, equipment and medium

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Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0051] see figure 1 , figure 1 It is a flow chart of a living body detection method provided by an embodiment of the present invention, which is applied to electronic devices, such as mobile terminals. Such as figure 1 shown, including the following steps:

[0052] Step 101. Acquire a target human face image group, wherein the target human face image group includes a frame of RGB image and a frame of depth image corresponding to the RGB image.

[0...

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Abstract

The invention discloses a living body detection, image classification and model training method, device, equipment and medium, relates to the technical field of image processing, and aims to improve the speed of living body detection. The method includes: acquiring a target human face image group, wherein the target human face image group includes a frame of RGB image and a frame of depth image corresponding to the RGB image; combining the RGB image and the depth image with the first frame Fusion in a fusion manner to obtain a first fusion image; input the first fusion image into a first model to obtain a first living body detection result. Wherein, the first model is SqueezeNet, the size of the face area in the RGB image meets the first preset requirement, and the depth of the depth map meets the second preset requirement. The embodiments of the present invention can improve the speed of living body detection.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a living body detection, image classification and model training method, device, equipment and medium. Background technique [0002] With the wide application of face recognition, face unlocking and other technologies in daily life such as finance, access control, and mobile devices, face anti-counterfeiting / liveness detection (Face Anti-Spoofing) technology has received more and more attention in recent years. Based on a deeper and more complex deep neural network model, the liveness detection model currently running on the server side can achieve an accuracy rate of 99%. With the increase of application scenarios, a liveness detection model that runs in real time on a mobile terminal is required. [0003] At present, liveness detection is mostly performed in an interactive way on mobile terminals. However, this method requires the detected object to cooperate...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/214
Inventor 付华赵立军蒋宁
Owner MASHANG CONSUMER FINANCE CO LTD