The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) Biometric and Identity Technology Center (BI-TC) is partnering with multiple federal agencies to host the Remote Identity Validation Technology Demonstration (RIVTD) Challenge, a series of test events to evaluate the ability of systems to authenticate identity documents, assess the “liveness” of selfie photos, and evaluate identity verification using images taken with smartphones and similar devices.
Mobile Driver’s License (mDL) is an early front-runner, consisting of standardized technologies and processes that enable a digital-identity ecosystem that replicates and potentially improves upon physical identity credentials.
S&T Quantifying the Extent to Which Race and Gender Features Determine Identity in Commercial Face Recognition Algorithms
Using data gathered from the 2018 Biometric Technology Rally, we show that commercial face, but not iris, recognition algorithms use features associated with race and gender to establish individual identity.
S&T’s Biometrics and Identity Management program develops and evaluates more effective biometric and identity technologies to optimize existing inspection and screening operations for people at POE, transportation security checkpoints, secure facilities, and online systems.
S&T's Biometric Technology Rally focused on the ability of acquisition systems and matching algorithms to recognize travelers without asking them to remove their masks, thereby reducing risk for frontline workers.
A 2017 study estimated that identity thieves stole $16 billion dollars in 2016. Once identity thieves have your personal information, they can drain your bank account, run up charges on your credit cards, open new utility accounts, or get medical treatment with your health insurance. Fortunately, there are simple steps you can take to safeguard your personal information and prevent identity theft.