Living body video picture processing method and device, computer equipment and storage medium

A technology of image processing and living body, which is applied in the field of biometrics to achieve the effect of reducing intermediate processing links, improving processing performance, and improving accuracy

Pending Publication Date: 2020-07-17
PING AN TECH (SHENZHEN) CO LTD
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Based on this, it is necessary to address the existing problems and provide a method, device and readable storage medium for processing video pictures in liveness detection, so as to improve the efficiency of existing video liveness detection

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Living body video picture processing method and device, computer equipment and storage medium
  • Living body video picture processing method and device, computer equipment and storage medium
  • Living body video picture processing method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] figure 1 It is an implementation environment diagram of the living video picture processing method provided in one embodiment, such as figure 1 As shown, in this implementation environment, a computer device 110 and a terminal 120 are included.

[0053]The computer device 110 is a living body video image processing device, such as a computer used by a tester, and a living body video image processing tool is installed on the computer device 110 . The terminal 120 is installed with an application that needs to process live video pictures. When it is necessary to process live video pictures, ...

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

PUM

No PUM Login to view more

Abstract

The invention relates to living body detection of a biological recognition technology, and provides a living body video picture processing method and device, computer equipment and a storage medium. The method comprises the following steps: receiving a detection request of a living body video and storing the living body video into a memory; obtaining an original living body video data packet, andcalculating the number of pictures in the original living body video data packet; performing frame extraction on the pictures in the original living body video data packet according to the number of the pictures in the original living body video data packet to obtain a target picture; decoding the target picture to obtain a decoded target picture; and feeding back the decoded target picture to a bottom layer interface. The device, the computer equipment and the storage medium are all used for processing the living body video pictures based on the steps of the method. According to the method, intermediate processing links are reduced by directly operating in the memory, the living body video arrangement processing performance is improved, the processing speed of living body video detectiondecoding videos is increased, and the performance loss of a GPU is reduced.

Description

technical field [0001] The invention relates to the technical field of biometric identification, in particular to a video image processing method, device and readable storage medium in living body detection. Background technique [0002] As a mature biometric technology, portrait recognition has been widely used in finance, education, public security, social services, e-commerce and other fields. However, human faces are easily duplicated with videos or photos for fraudulent identification, making security problematic. Video liveness detection is currently the main solution to this security problem. [0003] In the prior art video liveness detection, it is necessary to decode the video into pictures and sounds, while the liveness detection only needs to detect the decoded pictures, and does not detect the decoded sounds. When detecting the confidence level of liveness in pictures, generally not all video pictures are detected, but only about 3 to 6 seconds of video are det...

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

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T1/20H04N21/231H04N21/234H04N21/2343
CPCH04N21/231H04N21/23418H04N21/234309G06T1/20G06V20/46G06V40/45
Inventor 张国辉马爱国
Owner PING AN TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap