Which biometric technology might be used for identifying passengers without any prior enrollment at border checkpoints?

Facial recognition technology is particularly well-suited for identifying passengers without prior enrollment at border checkpoints due to its ability to analyze and match faces captured in real time against a large database. This capability allows border control agencies to efficiently identify individuals by simply capturing an image of their face as they approach the checkpoint, making it less cumbersome than requiring prior registration.

Facial recognition systems utilize sophisticated algorithms to detect facial features, such as the distance between the eyes, the shape of the jawline, and other distinctive attributes, to create a unique biometric profile. This technology can be deployed quickly and at scale, facilitating expedited processing of travelers while enhancing security measures.

Other biometric technologies, such as voice recognition, fingerprint scanning, and vein pattern recognition, typically require prior enrollment or extensive databases of biometric data for effective identification. Voice recognition relies on pre-recorded samples to compare against a database, fingerprint scanning necessitates a stored fingerprint for matching, and vein pattern recognition requires specific infrastructure and is less commonly used for immediate identification without prior data.