A Fingerprint Matching Algorithm Based on B-Spline Curves

Author

Yuan, HuaQiang ; Xiao, Weimin ; Han, Guoqiang

Author_Institution

Sch. of Software, Dongguan Univ. of Technol., Dongguan

fYear

2008

fDate

18-21 Nov. 2008

Firstpage

1406

Lastpage

1411

Abstract

This paper adopts the thought of curve recognition, and a new fingerprint matching algorithm based on mathematics curve theory is presented. In this algorithm, stated data point vectors are extracted firstly at the reliable region of different ridges, then the corresponding control point vectors of B-Spline curves are worked out, the control points should contain all information of ridges. Control point vectors are stored as fingerprint template. Finally we analyze the vectorspsila Euler distance between observed fingerprint and template to realize matching. Experimental results prove that this algorithm based on curve theory has good antinoise ability and high recognition precision.

Keywords

curve fitting; fingerprint identification; image matching; splines (mathematics); B-spline curve; control point vector; data point vector extraction; fingerprint matching algorithm; fingerprint template; mathematics curve theory; vector Euler distance; Computer science; Face recognition; Fingerprint recognition; Image matching; Pattern matching; Reliability engineering; Shape control; Software algorithms; Speech recognition; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for

Conference_Location

Hunan

Print_ISBN

978-0-7695-3398-8

Electronic_ISBN

978-0-7695-3398-8

Type

conf

DOI

10.1109/ICYCS.2008.57

Filename

4709179