Method of reducing fraud in connection with employment, public license applications, social security, food stamps, welfare or other government benefits

摘要

A current applicant for a government benefit presents a fingerprint signature to a large data bank to determine if his signature is already in the data bank, to thus indicate fraud. His fingerprint is rapidly machine correlated with the fingerprints of prior approved applicants and a number of close matches are thereafter visually examined by a human operator to definitively determine whether the current applicant's fingerprint is already in the data bank. However, a coarse biometric index (CBI) of the current applicant is first compared with all CBIs of approved applicants and only a tiny percentage of positive CBI matches result in the correlation of fingerprints and visual examination by the human operator, thereby to save huge amounts of human matching time and cost. The result is reliable and economical scanning of huge data banks such as the Social Security data base. The CBI can display facial images and eliminate fingerprints altogether if desired.