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基于二维条码的指纹特征信息隐藏方法研究 被引量:6

Approach to Fingerprint Feature Hiding Based on Two-Dimension Bar Code
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摘要 提出了一种将指纹特征信息隐藏在二维条码中的指纹信息保护方法.利用指纹图像的方向信息和频率信息确定二值化的阈值,采用PDF417条码的编码、译码技术实现指纹图像的预处理和特征提取,并将提取结果嵌入到二维条码中,当对指纹进行认证时,从二维条码中读取数据并解码,得到存储的指纹特征信息,从而达到认证、鉴别的目的.实验结果表明,所提方法可提高指纹特征信息的安全性,且识别、认证效率比较高,实现了指纹特征信息的远距离安全传输和高速录入,以及在线、离线的认证. A new solution for the protection of fingerprint information is proposed, in which fingerprint feature information is embedded into 2D bar code to prevent fingerprint information from being attacked. The direction and frequency information of the fingerprint image is utilized to ascertain the threshold of the binarization, and PDF 417 encoding is adopted for preprocessing and selecting the feature from fingerprint image, then the result of the extraction is embedded into 2D bar. When authentication is needed, the 2D bar is read and decoded to extract the saved fingerprint feature information, and then the aim of authentication and discrimination is approached. The experiment results show that the method can enhance effectively the security of the fingerprint feature information, likewise the efficiency of identification and authentication is higher, and also it is feasible for long range secure transmission and high speed type-in, as well as online/ offline authentication.
出处 《西安交通大学学报》 EI CAS CSCD 北大核心 2007年第2期145-148,共4页 Journal of Xi'an Jiaotong University
基金 国家科技攻关"十五"计划专项经费资助项目(2004BA111B01) 陕西省科技攻关计划资助项目(2005K04-G12) 陕西省自然科学基金资助项目(2005F14)
关键词 信息隐藏 二维条码 指纹识别 information hiding two-dimension bar code fingerprint recognition
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  • 1[1]Jain A K, Hong L, Pankanti S, Bolle R. An Identity Authentication System Using Fingerprints [J]. Proc.IEEE, 1997, 85(9): 1365~1388.
  • 2[2]Jain A K,et al.. On-line Fingerprint Verification[J].IEEE Trans. On Pattern Analysis and Machine Intelligence, 1997, 19(4):302~313.
  • 3[3]RATHA N K, CHEN S Y, JAIN A. Adaptive flow orientation-based feature extraction in fingerprint images[J]. Pattern Recognition, 1995, 28(11) : 1657~1672.
  • 4韩伟红,沈清,黄子中.微机上的指纹自动识别系统[J].微型电脑应用,1996(3):16-18. 被引量:5
  • 5李宏贵,李兴国.基于Gabor小波和神经网络的红外图像识别算法[J].系统工程与电子技术,2003,25(2):228-231. 被引量:3

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