Image analysis – Image enhancement or restoration
Reexamination Certificate
2006-07-04
2006-07-04
Couso, Yon J. (Department: 2625)
Image analysis
Image enhancement or restoration
C382S124000
Reexamination Certificate
active
07072523
ABSTRACT:
In an automatic fingerprint authentication or identification system, the fingerprint image acquisition is severely effected by the limitations of the acquisition process. The two modes of input, viz. scanning inked fingerprints from paper records or directly from a finger using live-scan fingerprint scanners suffer from the following noise sources in the input in addition to standard noise in the camera. Non-uniform ink application, uneven pressure while rolling on the paper or pressing on the scanner surface and external dirt like oil and climatic variations in the moisture content of skin are some of the main causes for the ridges and valleys not to be imaged clearly. This invention deals with a method of learning a set of partitioned least-sqaures filters that can be derived from a given set of images and ground truth pairs as an offline process. The learned filters are convolved with input fingerprint images to obtain the enhanced image.
REFERENCES:
patent: 5048100 (1991-09-01), Kuperstein
patent: 5572597 (1996-11-01), Chang et al.
patent: 5825936 (1998-10-01), Clarke et al.
patent: 5901246 (1999-05-01), Hoffberg et al.
patent: 6084981 (2000-07-01), Horiba et al.
patent: 6647132 (2003-11-01), Montillo et al.
Bolle Rudolf M.
Ghosal Sugata
Pankanti Sarathchandra
Ratha Nalini
Udupa Raghavendra U.
Couso Yon J.
Lenovo ( Singapore) Pte. Ltd.
Rogitz John L.
LandOfFree
System and method for fingerprint image enhancement using... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for fingerprint image enhancement using..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for fingerprint image enhancement using... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3533101