A Fingerprint Matching Algorithm Based on B-Spline Curves

被引：0

作者：

Yuan, HuaQiang ^{[1
]}

Xiao, Weimin ^{[2
]}

Han, Guoqiang ^{[2
]}

机构：

[1] Dongguan Univ Technol, Sch Software, Dongguan 523808, Peoples R China

[2] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510640, Peoples R China

来源：

PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE FOR YOUNG COMPUTER SCIENTISTS, VOLS 1-5 | 2008年

基金：

美国国家科学基金会;

关键词：

Fingerprint Matching; Data Point; B-Spline Curve; Control Point;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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 vectors' 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.

引用

页码：1406 / +

页数：2

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