Smartphones might soon gain another method of biometric authentication that involves scanning the teeth of users, and it appears to be a fairly reliable solution based on initial research.

The researchers from India’s Birla Institute of Technology and Science Pilani have proposed using teeth match as a method of authentication on smartphones.

The researchers say that the app acquires biometric samples using the camera on a mobile handset. The app has specific markers that register a human’s teeth for authentication, similar to existing apps that record the entire face.

The technique, which is dubbed as “DeepTeeth” in the research paper, involves capturing an image of the user’s pearly whites, processing it into machine-readable form, and then passing it through a deep learning model for identification against an original database.

The team says that this is the first work on teeth-photo-based authentication for any mobile device to the best of their understanding, adding the results have shown “perfect accuracy.”

Using the front camera of your mobile device, the app acquires the impression of your teeth first. This is followed by ROI extraction and enhancement. The next function of the app is “deep feature extraction” followed by “enroll/verify and identify.”

The next step is where the authentication really begins. The enrolled extraction then compares the teeth impression with the database, following which the app makes the “decision” on whether or not it matched with the right person.

The aforementioned results were obtained when the Region of Interest (RoI) in a teeth image sample was set at 75 x 75 pixels for analysis using the authentication model.

In conclusion, the authors write that they observed that the less explored teeth-photo has very high recognition and identification accuracy with the special feature proposed in the study.

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