Verification of a new measurement method for improved security in fingerprint sensors through statistical analysis

Purpose and goal

The aim of this project was to verify early simulation results with new measurement data, to create a databank with lots of measurements on real and fake fingers for statistical analysis of the measurement method, and to get a better understanding about the restrictions of the new measurement method.

Results and expected effects

In this project we succeeded in the identification of fake and real fingerprints by statistical verification of lots of measurement data. We used different materials in our measurement like rubber, silicon and gelatin that are typically used in the fabrication of fake fingerprints. We are now able to identify those materials with help of our capacitive sensors. We have succeeded in our goals and we have now created a unique method for identification of fake and real fingerprints with help of capacitive fingerprint sensors. This method is now under progress for being patented worldwide.

Approach and implementation

We created different calibration cubes and copies of real fingerprints in different material. We built an automated data collection method with help of software. A lot of measurement data was collected for statistical analysis purpose from real and fake fingerprints. We have written a first draft for a world-wide patent proposal of the new measurement method. It will bring the company to a higher technical and competitive level on the international marked of fingerprint sensors.