A real-time face detection method based on image processing

An image processing and face detection technology, applied in the field of image processing, can solve the problem of high hardware cost and achieve high security, cost reduction and good user experience

Active Publication Date: 2021-01-22
CHONGQING ZHONGKE YUNCONG TECH CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of technology is usually based on two or more cameras to obtain face images, and the hardware cost is relatively high

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
  • A real-time face detection method based on image processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0025] Such as figure 1 Shown: a real-time face detection method based on image processing,

[0026] Take the following steps,

[0027] Step 1: The image acquisition device acquires images in real time, and transmits the acquired images to the image processing module;

[0028] Step 2: The image processing module performs denoising preprocessing on the image, and sends the preprocessed image to the face detection module;

[0029] Step 3: the face detection module detects the pre-processed image, analyzes whether there is a face image in the pre-processed image, if there is a face image, then enters the next step, otherwise, returns to step 1;

...

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

A real-time human face living body detection method based on image processing, adopting the following steps, step 1: the image acquisition device acquires images in real time, and transmits the acquired images to the image processing module; step 2: the image processing module performs denoising and pre-processing Processing, the pre-processed image is delivered to the face detection module; Step 3: the face detection module detects the pre-processed image, analyzes whether there is a face image in the pre-processed image, if there is a face image , then enter the next step, otherwise, return to step 1; step 4: the face detection module determines the position of the face image in the preprocessed image; step 5: the face detection module locates the nose area in the face image and the ear area to obtain the position parameters of the nose area and the ear area in the face image.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a real-time human face living body detection method based on image processing. Background technique [0002] With the vigorous development of face recognition technology and systems in all walks of life (including banks, mobile payment, airports, etc.), more and more attention has been paid to the security loopholes of face recognition systems, and people are eager to increase anti-spoofing of personal identities The means, that is, liveness detection on the face, so as to identify the illegal behavior of forging the identity of others. [0003] At present, face liveness detection technology can be divided into the following two categories according to the liveness detection process: (1) Interactive face liveness detection: the existing interactive face liveness detection technology is completed through human-computer interaction, such as face liveness detection system Require th...

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 Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/166G06V40/172G06V40/161G06V40/45
Inventor 周曦焦宾
Owner CHONGQING ZHONGKE YUNCONG TECH 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