Patent ID: 8295561

Claim:
A method of knowledge learning for fingerprint verifications comprises steps of, providing a fingerprint scanner; providing a fingerprint image database (FID); providing a minutiae point extraction and fusion module (MPEFM); providing a minutiae point database (MPD); providing a master minutiae point database (MMPD) wherein the MMPD comprises a plurality of master minutiae point records; and providing a verification module; operating the fingerprint scanner to scan first set of fingerprints and convert the scanned first set of fingerprints into image data; transmitting the first set of fingerprint image data to the FID and storing the first set of fingerprint image data in the FID; performing identifications of first set of minutiae points by the MPEFM from the first set of fingerprint image data; storing information of the first set of minutiae points in the MPD, wherein the information of the first set of minutiae points is represented by a mathematical vector form; the mathematical vector form includes information of a x-coordinate, a y-coordinate, and an angle in view of a selected reference Cartesian coordinate system; performing a comparison of the information of the first set of minutiae points with the plurality of master minutiae point records to determine a success of the comparison, wherein the success is determined when quantity of same minutiae points between the first set of minutiae points and minutiae points within a specific master minutiae record exceeds a predetermined quantity requirement; and when the determination is a success, generating a report of success and terminating the verification, when the determination is not a success, determining quantity of scanning performed, wherein when the quantity of scanning equals to a predetermined trial requirement, terminating the verification.