Biometrics Enrollment Tool (BET) Fingerprint Quality Score

The USCIS Customer Profile Management Service (CPMS) serves as a person-centric repository of biometric and biographic information provided by applicants and petitioners (hereafter collectively referred to as “benefit requestors”) that have been issued a USCIS card evidencing the granting of an immigration related benefit (i.e., permanent residency, work authorization, or travel documents). The Biometrics Enrollment Tool (BET) team has been working on enhancing their quality checks, with one of the new improvements being incorporation of the National Institute of Standards and Technology (NIST) Fingerprint Image Quality 2 (NIFQ2) algorithm (a trained machine learning algorithm) for scoring of fingerprints (https://www.nist.gov/services-resources/software/nfiq-2) into the BET application. This algorithm takes a fingerprint image and assigns a score between 0 - 100, with 100 indicating that this is the best quality fingerprint image that could be obtained. The higher the score, the more likely that the fingerprint will match when captured again. This algorithm has been in place for several Program Increments. BET had been providing Biometric Capture Technicians with a poor-quality indicator and encountered objections from technicians for the larger than expected number of recaptures required, based on contractual complications. The BET team continues to capture this data in the background, but this does not require recapture currently. For more information, please visit: https://www.dhs.gov/publication/dhsuscispia-060-customer-profile-manage…