New York:The researchers have developed a way to strengthen security by mixing facial features such as smiles and winks.
D.J. Lee, Professor at Brigham Young University (BYU) in the US, who has filed a patent on the tech already, said the idea is not to compete with Apple or have the application be all about smartphone access.
In his opinion, the new technology has broader application, including accessing restricted areas at a workplace, online banking, ATM use, safe deposit box access or even hotel room entry or keyless entry/access to your vehicle, BYU said in a statement.
- The new system is called Concurrent Two-Factor Identity Verification (C2FIV) and it requires both one's facial identity and a specific facial motion to gain access.
- To set it up, a user faces a camera and records a short 1-2 second video of either a unique facial motion or a lip movement from reading a secret phrase.
- The video then inputs into the device, which extracts facial features and the features of the facial motion, storing them for later ID verification.
- To get technical, C2FIV relies on an integrated neural network framework to learn facial features and actions concurrently.
- This framework models dynamic, sequential data like facial motions, where all the frames in a recording have to be considered -- unlike a static photo with a figure that can be outlined.
- Using this integrated neural network framework, the user's facial features and movements are embedded and stored on a server or in an embedded device and when they later attempt to gain access, the computer compares the newly-generated embedding to the stored one.
- That user's ID is verified if the new and stored embeddings match at a certain threshold.