[1]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.
Copy

A fuzzy fingerprint matching method based on ridge features

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 3 Page number: 235-240 Column: 学术论文—智能系统 Public date: 2012-06-25
Title:
A fuzzy fingerprint matching method based on ridge features
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
Keywords:
fingerprint identification;  fingerprint matching;  fuzzy matching;  fingerprint ridge features;  fingerprint minutiae features
CLC:
TP391
DOI:
-
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.
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.
Similar References:

Memo

-

Last Update: 2012-09-05

Copyright © CAAI Transactions on Intelligent Systems