Indian researchers has develop a human authentication through teeth for mobile and other hand-held devices. The Researchers says that the app acquires biometric samples using the camera on a mobile handset.
The app has specific markers that register the teeth of a human for authentication similar as existing apps that record the entire face.
Name of the study is “Deepteeth : A Teeth-Photo Based Human Authentication System for Mobile and Hand-Held Devices”.
Explaining the functioning of the app the team in the abstract of the paper has writes that the region of interest (ROI) is extract using markers and the obtained sample is then enhance using contrast limit adaptive histogram equalization (CLAHE) for better visual clarity.
The team says that to the best of their understanding this is the first work on teeth-photo-base authentication for any mobile device, adding the results have shown “perfect accuracy.”
Upon further reading the paper you will find a diagram explaining how teeth-photo authentication works.
The app which use the front camera of your mobile device, acquires the impression of your teeth first.
This is follow by ROI extraction and enhancement.
The next function of the app is “deep feature extraction” follow by “enrol/verify and identify.”
The next step is where the authentication really begins.
Enrolled extraction then compares the teeth impression with the database, following which the app makes the “decision” on whether or not it matche with the right person.
In conclusion the observed that the less explored teeth-photo has very high recognition and identification accuracy with the special feature proposed in the study.
It takes a little longer to train initially, once deploy it is highly efficient for identification or verification.
As per the study the proposed model works perfectly with a small size sample and is and power-efficient and suitable for mobile devices.
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