Title :
Directional fingerprint processing
Author_Institution :
ITRI, Marmara Res. Centre, Kocaeli, Turkey
Abstract :
We present fingerprint smoothing, classification and identification based on the singular points (delta and core points) obtained from the directional histograms of a fingerprint. Fingerprints are classified into two main categories that are called Lasso and Wirbel. The process includes directional image formation, directional image block representation, singular point detection and decision, and fingerprint classification and identification, respectively. By matching decision vectors with minimum error, this algorithm is simple and fast
Keywords :
fingerprint identification; image classification; image matching; image representation; smoothing methods; statistical analysis; Lasso category; Wirbel category; core points; decision vectors; delta points; directional fingerprint processing; directional histograms; directional image block representation; directional image formation; fingerprint classification; fingerprint identification; fingerprint smoothing; image matching; minimum error; singular point decision; singular point detection; Bifurcation; Change detection algorithms; Charge coupled devices; Charge-coupled image sensors; Fingerprint recognition; Histograms; Image segmentation; MATLAB; Pixel; Smoothing methods;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770799
