[1]魏鸿磊,张文孝,华顺刚.一种采用脊线特征的指纹模糊匹配方法[J].智能系统学报,2012,7(3):235-240.
　WEI Honglei,ZHANG Wenxiao,HUA Shungang.A fuzzy fingerprint matching method based on ridge features[J].CAAI Transactions on Intelligent Systems,2012,7(3):235-240.
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一种采用脊线特征的指纹模糊匹配方法

《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 7 期数: 2012年第3期 页码: 235-240 栏目: 学术论文—智能系统 出版日期: 2012-06-25
Title:
A fuzzy fingerprint matching method based on ridge features
文章编号:
1673-4785(2012)03-0235-06
作者:
魏鸿磊1,2，张文孝1，华顺刚2
1.大连海洋大学 机械与动力工程学院，辽宁 大连 116023；
2.大连理工大学 机械工程学院，辽宁 大连 116023
Author(s):
WEI Honglei1,2, ZHANG Wenxiao1, HUA Shungang2
1. School of Mechanical and Power Engineering, Dalian Ocean University, Dalian 116023, China;
2. School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, China
关键词:
指纹识别; 指纹匹配; 模糊匹配; 指纹脊线特征; 指纹细节点特征
Keywords:
fingerprint identification;  fingerprint matching;  fuzzy matching;  fingerprint ridge features;  fingerprint minutiae features
分类号:
TP391
文献标志码:
A
摘要:
针对目前指纹识别系统主要采用手指上细节点的分布来表征和匹配指纹，提出了一种采用指纹脊线特征的匹配算法，以提高细节点数量较少情况下的匹配精度.在特征提取阶段，通过脊线采样，只存储脊线采样点集以降低存储量；在匹配时，对欲匹配的两指纹利用细节特征配准脊线集，在重合区域内对两指纹脊线统一进行编码，通过编码的比较确定相似脊线；以相似脊线的相同位置编码为论域，以相同位置编码的相似程度为隶属度，建立衡量脊线相似程度的模糊集，采用加权平均法对多个相似脊线模糊集进行综合评判得到两指纹脊线总体相似度.最后将脊线匹配相似度与细节点匹配相似度进行加权融合得到两指纹最终的相似度.在FVC2004指纹库上的实验表明该算法能够有效提高指纹匹配的准确性.
Abstract:
Most fingerprint matching systems rely on the distribution of minutiae on the fingertip to represent and match fingerprints. This paper describes a matching scheme that used ridge flow information to represent and match fingerprints in order to improve the accuracy of fingerprints matching in case of a lack of sufficient minutiae. In the phase of features extraction, the ridges were sampled into sets of points so that the size of the template for storage could be shrunk significantly. In the matching phase, two fingerprints were aligned first, and the ridges in the overlap area were coded into sets of ridge codes. By comparing the ridge codes, similar ridge pairs were found. Taking the same position code of similar ridges as the domain, and the degree of similarity of the same position code as the degree of membership, the fuzzy sets of ridge similarity could be achieved. The ridge similarity of two fingerprints could be achieved through evaluating the fuzzy set using the weighted average method. Finally, the weighting fusion was made to calculate the final similarity of two fingerprints based on ridge matching similarity and minutiae matching similarity. Experiments show that this fingerprint matching technique can noticeably improve the accuracy.
参考文献/References:
［1］HE Yuliang, TIAN Jie, LUO Xiping, et al. Fingerprint matching based on global comprehensive similarity［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(6): 850862.
［2］ZHONG Weibo, NING Xinbao. A fingerprint matching method based on minutiae and ridges［C］//Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering. Xiamen, China, 2008：10711074.
［3］ZHENG Xiaolong, WANG Yangsheng. Fingprint matching based on ridge similarity［C］//Proceedings of 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. Las Vegas, USA, 2008: 17011704.
［4］VATSA M, SINGH R, NOORE A, et al. Combining pores and ridges with minutiae for improved fingerprint verification［J］. Signal Processing, 2009, 89(12): 26762685.
［5］JAIN A K, FENG Jianjiang. Latent fingerprint matching［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(1): 88100.
［6］CHOI Heeseung, CHOI Kyoungtaek, KIM Jaihie. Fingerprint matching incorporating ridge features with minutiae［J］. IEEE Transactions on Information Forensics and Security, 2011, 6(2): 338345.
［7］JAIN A K, PRABHAKAR S, HONG L, et al. Filterbankbased fingerprint matching［J］. IEEE Transactions on Image Processing, 2000, 9(5): 846859.
［8］ROSS A, JAIN A K, REISMAN J. A hybrid fingerprint matcher［C］//Proceedings of the 16th International Conference on Pattern Recognition. Quebec City, Canada, 2002, 3: 795798.
［9］魏鸿磊,欧宗瑛,甘树坤,等.采用逐级配准和分值加权的指纹匹配算法［J］.计算机辅助设计与图形学学报, 2006, 18(6): 832837.
WEI Honglei, OU Zongying, GAN Shukun, et al. Fingerprint matching using gradual alignment and weighted matching score［J］. Journal of ComputerAided Design & Computer Graphics, 2006, 18(6): 832837.
［10］MAIO D, MALTONI D, CAPPELLI R, et al. FVC2000: fingerprint verification competition［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(3): 402412.
相似文献/References:
[1]史骏鹏,吴一全.基于混沌蜂群优化的指纹匹配算法[J].智能系统学报,2016,11(5):613.[doi:10.11992/tis.201601038]
　SHI Junpeng,WU Yiquan.A fingerprint minutiae matching algorithm based on chaotic bee colony optimization[J].CAAI Transactions on Intelligent Systems,2016,11():613.[doi:10.11992/tis.201601038]

备注/Memo

收稿日期： 2011-05-23.网络出版日期：2012-05-07.
基金项目：辽宁省博士科研启动基金资助项目（20071066）；辽宁省教育厅科研计划资助项目(L2010072).
通信作者：魏鸿磊．E-mail: whl@dlou.edu.cn.
作者简介：
魏鸿磊，男，1973年生，副教授，博士，目前在大连理工大学控制科学与工程博士后流动站从事博士后研究工作，主要研究方向为模式识别、图像处理，主持或参与省级基金项目4项，发表学术论文20余篇.
张文孝，男，1963年生，教授，博士，主要研究方向为模式识别、系统仿真，发表学术论文30余篇.
华顺刚，男，1964年生，副教授，博士，主要研究方向为图像处理、模式识别，发表学术论文40余篇.

更新日期/Last Update: 2012-09-05
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