Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Living body detection method

A living body detection and living body technology, applied in the field of face recognition, can solve the problems of low security, breakthrough of living and non-living face recognition methods, etc., and achieve the effect of high robustness

Inactive Publication Date: 2018-12-28
成都智汇脸卡科技有限公司
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a living body detection method to solve the problem that the current living body detection method only uses a single color space to recognize living and non-living human faces and will be broken, and the problem of low security

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The technical solution of the present invention is described in detail below.

[0033] The living body detection method of the present invention comprises the following steps:

[0034] Step 1. Collect a sample and set the image tag value of the sample. The sample includes multiple live face images and multiple non-live face images. The corresponding picture tag values ​​of the live face images are all 1, and the non-live face images The corresponding image label values ​​are all 0;

[0035] Step 2, randomly select some samples collected and use it as a training set, and convert each sample in the training set to an image under the HSV color space and an image under the YCbCr color space;

[0036]Step 3. For each sample in the training set, calculate the color acceleration robust features of the image under the HSV color space and the color acceleration robust features of the image under the YCbCr color space, and calculate the two values ​​of each sample in the trainin...

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 provides a living body detection method, which relates to the field of face recognition. The invention solves the problem that the safety of the recognition mode of the living face and the non-living face under the single color space is not high, the key points of the technical scheme are as follows: for each sample in the training set, the color acceleration robust features of the images in HSV color space and YCbCr color space are calculated respectively, and the two color acceleration robust features of each sample in the training set are fused into a set of color accelerationrobust features by vector fusion; the color-accelerated robust feature set of each sample in the training set is input into the Gaussian mixture model, and the FV coding vectors of each sample in thetraining set are calculated by the Gaussian mixture model; the FV coding vectors of each sample in the training set are normalized and converted into the format required by the classifier, and then sent to the classifier for training to train the model, and the remaining samples are used as a test set to adjust the relevant parameters of the model.

Description

technical field [0001] The invention relates to face recognition technology, in particular to the technology of how to more safely recognize living human faces in an access control system or an advertising machine. Background technique [0002] In recent years, key breakthroughs have taken place in the field of computer vision. Face recognition is a non-contact technology, which is visualized and conforms to people's thinking habits, and can be widely used in business, security and other fields. At present, face recognition has gradually become a hot research field. [0003] The United States is the first country to start face recognition technology, and it is also the first country to apply this technology. The level of its face recognition technology has been at the forefront of the world. The FBI launched their new generation of electronic identification system in 2014, with a total investment of more than 1 billion US dollars. It is used to lock criminal suspects by mo...

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
IPC IPC(8): G06K9/00G06N3/08
CPCG06N3/08G06V40/162G06V40/168G06V40/45
Inventor 康鑫姜尧岗林云李泽原解至煊腾龙谢文吉孙晓刚
Owner 成都智汇脸卡科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products