|本期目录/Table of Contents|

[1]陈汉涛,胡旭晓.基于细节点频谱的指纹图像匹配算法研究[J].浙江理工大学学报,2015,33-34(自科6):858-863.
 CHEN Han tao,HU Xu xiao.Research of Fingerprint Image Matching Algorithm Based on Spectral Minutiae[J].Journal of Zhejiang Sci-Tech University,2015,33-34(自科6):858-863.
点击复制

基于细节点频谱的指纹图像匹配算法研究()
分享到:

浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第33-34卷
期数:
2015年自科6期
页码:
858-863
栏目:
出版日期:
2015-11-10

文章信息/Info

Title:
Research of Fingerprint Image Matching Algorithm Based on Spectral Minutiae
文章编号:
1673-3851 (2015) 06-0858-06
作者:
陈汉涛胡旭晓
浙江理工大学机械与自动控制学院,杭州310018
Author(s):
CHEN Hantao HU Xuxiao
School of Mechanical Engineering & Automation, Zhejiang SciTech University,Hangzhou 310018,china
关键词:
指纹识别频率域特征提取傅里叶梅林变换免校准
分类号:
TP391.4
文献标志码:
A
摘要:
为了提高指纹识别系统对存在位移、缩放和旋转等线性变化的指纹图像识别率,提出一种基于指纹细节点频谱的指纹匹配算法。首先介绍了从频率域提取指纹细节点的频谱特征,利用傅里叶梅林变换的特性来消除平移、缩放和旋转等线性变化,从而获得稳定的无需再次校准的指纹特征;由于新的频谱特征是以矩阵形式存储的,因此可以直接用欧氏距离来评估两个指纹特征的相似程度,进而完成指纹图像的匹配;最后利用Matlab搭建了一个系统平台,在FVC2002 DB2数据库中进行实验。结果表明:与其他方法相比,笔者提出的方法明显提高了自动指纹识别系统的识别率。

参考文献/References:

[1] Ryu C, Kong S G, Kim H. Enhancement of feature extraction for lowquality fingerprint images using stochastic resonance [J]. Pattern Recognition Letters, 2011, 32(2): 107-113.
[2] Yu C, Xie M, Qi J. An effective algorithm for low quality fingerprint segmentation[C]//Intelligent System and Knowledge Engineering, 2008: 3rd International Conference on. IEEE, 2008, 1: 1081-1085.
[3] Cappelli R, Maio D, Maltoni D, et al. Performance evaluation of fingerprint verification systems[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2006, 28(1): 3-18.
[4] Liu F, Zhang D. 3D fingerprint reconstruction system using feature correspondences and prior estimated finger model[J]. Pattern Recognition, 2014, 47(1): 178-193.
[5] Bian W, Luo Y, Xu D, et al. Fingerprint ridge orientation field reconstruction using the best quadratic approximation by orthogonal polynomials in two discrete variables[J]. Pattern Recognition, 2014, 47(10): 3304-3313.
[6] Cao K, Yang X, Chen X, et al. Minutia handedness: a novel global feature for minutiaebased fingerprint matching[J]. Pattern Recognition Letters, 2012, 33(10): 1411-1421.
[7] Jirachaweng S, Hou Z, Yau W Y, et al. Residual orientation modeling for fingerprint enhancement and singular point detection[J]. Pattern Recognition, 2011, 44(2): 431-442.
[8] Feng J. Combining minutiae descriptors for fingerprint matching[J]. Pattern Recognition, 2008, 41(1): 342-352.
[9] Zhao Q, Zhang D, Zhang L, et al. Adaptive fingerprint pore modeling and extraction[J]. Pattern Recognition, 2010, 43(8): 2833-2844.
[10] Jain A K, Hong L, Pankanti S, et al. An identityauthentication system using fingerprints[J]. Proceedings of the IEEE, 1997, 85(9): 1365-1388.

备注/Memo

备注/Memo:
收稿日期: 2015-01-26
基金项目: 浙江省自然科学基金项目(LZ14E050003)
作者简介: 陈汉涛(1987-),男,安徽枞阳人,硕士研究生,主要从事图像识别、自动控制方面的研究
更新日期/Last Update: 2015-11-19