Title :
Online fingerprint template improvement
Author :
Jiang, Xudong ; Ser, Wee
Author_Institution :
Centre for Signal Process., Nanyang Technol. Univ., Singapore
fDate :
8/1/2002 12:00:00 AM
Abstract :
This work proposes a technique that improves fingerprint templates by merging and averaging minutiae of multiple fingerprints. The weighted averaging scheme enables the template to change gradually with time in line with changes of the skin and imaging conditions. The recursive nature of the algorithm greatly reduces the storage and computation requirements of this technique. As a result, the proposed template improvement procedure can be performed online during the fingerprint verification process. Extensive experimental studies demonstrate the feasibility of the proposed algorithm.
Keywords :
computational complexity; fingerprint identification; computation requirements; imaging condition changes; minutia averaging; minutia merging; online fingerprint template improvement; recursive algorithm; skin changes; storage requirements; weighted averaging scheme; Bifurcation; Employment; Feature extraction; Fingerprint recognition; Fingers; Image enhancement; Image matching; Impedance matching; Merging; Skin;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2002.1023807