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Living body detection, image classification and model training method, device, equipment and medium

A technology for model training and liveness detection, which is applied in the field of image processing and can solve problems such as time-consuming and affecting detection speed

Active Publication Date: 2021-05-28
MASHANG CONSUMER FINANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • 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

Method used

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

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Embodiment Construction

[0046] 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.

[0047] 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. like figure 1 shown, including the following steps:

[0048] 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.

[0049...

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Abstract

The invention discloses a living body detection, image classification and model training method, a device, equipment and a medium, relates to the technical field of data processing, and aims to improve the speed of living body detection. The method comprises the steps that a target face image group is collected, and the target face image group comprises a frame of RGB image and a frame of depth image corresponding to the RGB image; fusing the RGB image and the depth image in a first fusion mode to obtain a first fused image; and inputting the first fused image into a first model to obtain a first living body detection result. According to the embodiment of the invention, the living body detection speed can be improved.

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 Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/45G06N3/045G06F18/214
Inventor 付华赵立军高砚
Owner MASHANG CONSUMER FINANCE CO LTD