期刊文献+

基于灰度区间映射的脱皮指纹识别技术

Peeling Fingerprint Recognition Technique Based on Gray Interval Mapping
下载PDF
导出
摘要 指纹识别技术是生物特征识别技术中的研究热点。指纹学的研究表明指纹具有唯一性和终生不变性,利用指纹识别技术进行身份验证是可行而且实用的。文中系统地介绍了指纹识别流程及近几年相关技术的最新进展,在此基础上针对脱皮指纹直方图存在多峰的特点,提出了一种基于灰度区间映射的指纹预处理方法。仿真实验结果表明,当去掉灰度区间映射处理后,脱皮指纹识别出错,而包含灰度区间映射处理后识别率达到82.34%。 Fingerprint recognition technique is the research focus of the biometric recognition technology. It is shown that fingerprint is unique and life-long invariance, feasible and practical for authentication. The procedure of fingerprint identification is investigatedt in detail and the latest development of related techniques is surveyed. Regarding the multi-peak characteristic of the histogram of the peeling fingerprint, a preprocessing method based on gray interval mapping is proposed. Simulation results show that the identification error of peeling fingerprint happened when removing the gray interval mapping. An overall recognition rate of 82.34% is achieved by adopting the gray interval mapping.
出处 《计算机技术与发展》 2012年第10期147-150,156,共5页 Computer Technology and Development
基金 国家自然科学基金资助项目(60972162 61102155)
关键词 指纹识别 脱皮指纹 灰度区间映射 fingerprint recognition peeling fingerprint gray interval mapping
  • 相关文献

参考文献20

  • 1Jain A K,Ross A,Prabhakar S. An Introduction to Biometti. Recognition[J]. IEEE Trans on CSVT,2004,14( 1 ) :4-5.
  • 2王崇文,赵德申,王廷才,郑治伟.指纹取象与指纹识别[J].计算机工程与应用,2002,38(20):92-94. 被引量:11
  • 3Jain A K,Prabhakar S, Hong L. A multi-channel approach fingerprint classification [ J ]. IEEE Trans on PAMI, 1999 i (4) :348-359.
  • 4Hong Jin-hyuk, Min Jun-ki, Cho Ung-keun. Fingerprint ch sification using one-vs-all support vector machines dy. cally ordered with naive Bayes classifiers [ J ]. Pattern Reck, nition ,2008,41 (2) :662-671.
  • 5Gonzalez R C, Woods R E. Digital image processing i[ M ]. ed. Beijing: Publishing House of Electronics ndustry 2002 519-560.
  • 6Yao Yuan, Marcialis G L, Pontil M. Combining flat and tured representations for fingerprint classification with sire neural networks and support vector machines[ J ]. Recognition. 2003,36 ( 2 ) : 397-406.
  • 7Li Jun, Yau Weiyan, W Han. Combining singu points and orientation im information for fingeqll classification [ J ]. Part, Recognition, 2008,41 ( l ):353-366.
  • 8项明,吴小培,刘明生.基于独立分量分析的二级指纹分类算法[J].计算机工程,2010,36(10):16-18. 被引量:3
  • 9Neto H V, Borges D L. Fingerprint ClassificatiOn with Ne / Networks[ C ]//Proceedings of the 4th Brazilian Sympos] on Neural Networks. [ s. l. ] : [ s. n. ], 1997:66-72. /.
  • 10Park C H ,Park H. Fingerprint classification using fast transform and nonlinear discriminant analysis [ J ]. Recognition,2005,38 ( 4 ) :495-503.

二级参考文献39

  • 1苑玮琦,夏义勇.方向滤波指纹图像二值化[J].仪器仪表学报,2003,24(z2):469-471. 被引量:8
  • 2冯国进,顾国华,张保民.指纹图像预处理与特征提取[J].计算机应用研究,2004,21(5):183-185. 被引量:19
  • 3周媛媛,张成,林嘉宇.指纹图像的预处理算法[J].计算机应用,2004,24(9):34-36. 被引量:6
  • 4刘福元,王玲.自动指纹识别算法研究[J].信息安全与通信保密,2007,29(2):70-72. 被引量:10
  • 5徐建华.图象处理与分析[M].北京:科学出版社,1992..
  • 6Yi Wang, Damien Phillips, D Phillips. A Fingerprint Orientation Model Based on 2D Fourier Expansion (FOMFE) and Its Application to Singular - Point Detection and Fingerprint Indexing [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence,April 2007,29(4) :573 -585.
  • 7K C Chan, Y S Moon, P S Cheng. Fast fingerprint verification using subregions of fingerprint images[J]. IEEE Transactions on Circuits and Systems for Video Technology, Jan. 2004,14, ( 1 ) : 95 - 101
  • 8Dario Maio, Davide Maltoni, Direct gray - scale minutiae detection in fingerprints[ J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 1997, 19 : 27 -40.
  • 9Xudong Jiang, Wei - Yun Yau, Wee Ser. Detecting the fingerprint minutiae by adaptive tracing the gray -level ridge [ J ]. Pattern Recognition, 2001,54:999 - 1013.
  • 10Anil Jain, Lin Hong, Ruud Bolle. On - line fingerprint verification [J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 1997, 19:302-314.

共引文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部