Title :
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
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;
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
DOI :
10.1109/ICYCS.2008.57
