Researchers at Ben-Gurion University of the Negev (BGU) and Tel Aviv University (TAU) in Israel say they have developed a system that uses smartwatch devices and software to verify handwritten signatures and detect even the most skilled forgeries.
The new method for online signature verification utilizes motion sensors found in conventional devices.
The software employs motion data gathered from a user's wrist to identify the writer during the signing process. The system, using data compiled from accelerometer and gyroscope sensors, analyzes changes in rotational motion and orientation, and trains a machine-learning algorithm to distinguish between genuine or forged signatures.
The researchers recruited 66 TAU students to record 15 samples of their genuine signature using a digital pen and a tablet while wearing a smartwatch on their writing hand. Each student then studied trace recordings of other people's genuine signatures and was asked to forge five of them.
"The results for both random and skilled forgery tests were encouraging, and confirmed our system is able to successfully distinguish between genuine and forged signatures with a high degree of accuracy," says BGU's Ben Nassi.
From Ben-Gurion University of the Negev (Israel)
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