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Panasonic’s new technology for “contactless fingerprint authentication” verification experiment at Haneda 3 Tami immigration checkpoints.

Posted on 2025-02-032025-03-15 by Editor in Chief

Panasonic Connect announced that its contactless fingerprint authentication technology has been adopted for a verification experiment to “verify the accuracy of contactless fingerprint authentication” being conducted by the Immigration and Immigration Management Agency at Haneda Airport Terminal 3. The experiment will be conducted from February 3 to 28.

The Japan National Tourism Organization (JNTO) has announced that the number of foreign visitors to Japan in 2024 will reach a record high of 36.86 million, and it is expected that the number of foreign visitors to Japan will further increase. Therefore, the Immigration and Residency Management Agency is promoting various efforts to shorten the time required for landing inspections and to realize smooth and strict immigration inspections.

As part of this effort, a demonstration experiment was conducted to study the practicality of non-contact fingerprint authentication. By replacing the current fingerprint collection and authentication with crimped fingerprint information at the time of immigration inspection with contactless fingerprint authentication, it is expected to reduce the time required to obtain fingerprints.

This time, the company’s non-contact fingerprint authentication device will be installed near the immigration checkpoint, and foreign nationals departing Japan will have their fingerprints taken on a voluntary basis. The company will verify whether the “non-contact fingerprints” taken at the time of departure can be correctly matched with the “crimp fingerprints” taken at the time of entry into Japan.

The high error rate in matching with the existing fingerprint database posed a challenge in switching to non-contact fingerprint authentication. The company has developed a new proprietary deep learning technology that predicts feature variations during crimping from fingerprint images acquired by non-contact, greatly improving matching accuracy. As a result, the error rate in matching with the conventional crimp fingerprint database is said to be reduced to less than one-fifth compared to the error rate in matching a common unconverted non-contact fingerprint with a crimp fingerprint.

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