Directional fingerprint processing

Author

Ballan, Meltem

Author_Institution

ITRI, Marmara Res. Centre, Kocaeli, Turkey

Volume

2

fYear

1998

fDate

1998

Firstpage

1064

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4325-5

Type

conf

DOI

10.1109/ICOSP.1998.770799

Filename

770799