Immigration + Biometric Entry/Exit

Biometric technologies are essential to securing U.S. borders, enforcing immigration laws, and facilitating the safe and efficient movement of legitimate travelers.

Background

Congress first mandated an automated system to match the arrival and departure records of visitors at U.S. ports of entry in 1996, reinforcing the requirement with biometric-specific provisions in the PATRIOT Act (2001), the Border Security Act (2002), the Enhanced Border Security and Visa Entry Reform Act (2002), and the Intelligence Reform and Terrorism Prevention Act (2004).

While biometric entry processing has been operational since 2004 and has proven highly effective—CBP’s facial comparison system has processed over 119 million travelers and prevented more than 1,100 imposters from entering the country using genuine travel documents—full implementation of a biometric exit capability was delayed for years.

Only biometric verification can conclusively tie a travel credential to the person physically present; systems based solely on biographic data such as names and birthdates cannot reliably detect imposters or confirm departures.

IBIA Position

IBIA Position

IBIA strongly supports the use of biometrics at both entry and exit as mandated by Congress—to secure our borders, enable enforcement of immigration laws, and prevent criminals and terrorists from entering or leaving the United States undetected.

 

IBIA’s key positions on this issue include:

Completing Biometric Entry-Exit

The creation of a comprehensive biometric exit system at U.S. ports of entry is a long-overdue security enhancement. The proven success of biometric entry processing provides a strong value proposition for a fully operational counterpart exit system that would shore up data on visa overstays and close remaining gaps in border enforcement.

Opposing Legislative Restrictions on TSA and CBP Biometric Programs

IBIA opposes legislation—such as the Traveler Privacy Protection Act (S. 1691 in the 119th Congress)—that would unnecessarily restrict or ban TSA's and CBP's use of facial biometrics for traveler document verification and identity confirmation. Such measures would weaken highly successful security programs, create additional security risks, limit future innovation, and compromise programs that have improved the travel experience for millions of U.S. air travelers.

Biometric Verification Is Not Surveillance

Identity verification performed by TSA at security checkpoints and by CBP at ports of entry in the course of their legal obligations is not surveillance. These programs compare a traveler's live photo to photos from passports, visas, and other government-issued documents to confirm identity—a legally required function that enhances both security and convenience.

Facilitating Legitimate Travel

Biometric systems like CBP's Simplified Arrival and TSA's self-service credential verification stations speed processing, reduce close physical interactions between travelers and officers, increase accuracy, and improve the overall passenger experience. Cruise line debarkation times have been reduced by as much as 30 percent through the use of facial recognition, with corresponding improvements in passenger satisfaction.

Industry Readiness

IBIA members possess the technical expertise to support the design, development, and deployment of secure, convenient, and reliable biometric solutions at both entry and exit, and IBIA is committed to facilitating open dialogue among all stakeholders, including government agencies, Congress, and the traveling public.

All Key Issues

The Matching Process:

This process answers the question, “Are you who you claim to be?” The user makes an identity claim (e.g., by providing a username), and the system performs a one-to-one comparison between their live biometric template and the single template stored for that specific identity. This is used for authentication, such as unlocking a device or accessing a secure account. 

This process answers the question, “Who are you?” The system performs a one-to-many comparison, searching an entire database of stored templates to find a match for the user’s live biometric template. This is used in applications like law enforcement to identify a suspect from a crime scene fingerprint, or in national ID programs to prevent duplicate registrations.