VPNAcquire AccountSubscribeSubmit DAPP
Switch Language:
Home > News > context

New Achievement: Still Liveness Detection

Facial recognition technology involves liveness detection and comparison-based recognition. With the increasing use of this technology in business, the security threat posed by face spoofing cannot be overlooked. Current anti-spoofing solutions include dynamic video face detection, eye blink detection, thermal infrared and visible light detection, etc.

Improving upon existing techniques, Matrix Space is developing an AI-powered liveness detection system which, with the help of 3D cameras, can accurately and consistently recognize a still human face.

Liveness Detection

Liveness detection is a crucial part of biometric authentication systems. It serves to foil spoof attacks by looking for physiological characteristics unique to living organisms.

Face liveness detection measures movement of the head, intake of breath, the red-eye effect, etc. Iris liveness detection measures iridodonesis, movement of eyelashes and eyelids, constriction and dilation of pupils, etc.

Still Liveness Detection

Still, liveness detection is one step further from traditional liveness detection technology. It does not require specific movements of the body in order to tell fake from real. For users, this new approach takes less time and can be useful in more situations, but at the same time, it makes a tougher demand on the system to guarantee accurate results.

Experiment

In its liveness detection experiment, Matrix Space converted an RGB image to separate channels to generate individual LBP histograms before merging them into a histogram concatenation. Once this is done, an SVM decision can be made as to whether the image is real or fake.

Upgrading Still Liveness Detection

To help still liveness detection foil print, video, and 3D mask attacks, Matrix Space uses an infrared 3D camera in conjunction with AI to improve reliability when dealing with 3D subjects. With the help of a 3D camera, the still liveness detection system is able to achieve an accuracy of 94%.


Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain.

FOLLOW MATRIX:
Website | Github | Twitter | Reddit | Facebook | Youtube | Discord
Telegram (Official) | Telegram (Masternodes)
Owen Tao (CEO) | Steve Deng (Chief AI Scientist)

Keyword: Blockchain
Comments
0 / 1000
Latest Updates
Matrix and the Blockchain Based Smart Hospital Program
Matrix and the Blockchain Based Smart Hospital Program
Project Update
Project Update
Matrix AI Network Update Notes and Instructions
Matrix AI Network Update Notes and Instructions
Breaking News
Ajuna Raises $5 Million for Its Web3 Gaming Platform
Ajuna Raises $5 Million for Its Web3 Gaming Platform
The Investor’s Guide to the GameFi Market – What’s Next?
The Investor’s Guide to the GameFi Market – What’s Next?
The Sandbox announces partnership with Cut the Rope creator ZeptoLab to build new Web3 experiences
The Sandbox announces partnership with Cut the Rope creator ZeptoLab to build new Web3 experiences
Meta Masters Guild raises more than $3.3 million during its presale
Meta Masters Guild raises more than $3.3 million during its presale
WeTransfer announces partnership with Minima to host NFTs
WeTransfer announces partnership with Minima to host NFTs
Shibuya to let NFT holders to shape the trajectory of its latest short
Shibuya to let NFT holders to shape the trajectory of its latest short
Doodlers announces Doodles 2 – prices spike on OpenSea
Doodlers announces Doodles 2 – prices spike on OpenSea
Square Enix reiterates its commitment to NFT and blockchain exploration
Square Enix reiterates its commitment to NFT and blockchain exploration
China unveils its first regulated NFT marketplace
China unveils its first regulated NFT marketplace