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基于手写签名认证的安全机制 被引量:1

Safety Mechanism Based on Rapid Verification for Handwriting Signature
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摘要 该文阐述了现存密码技术中的一些缺陷,并提出一种手写签名认证与密码技术相结合的改进方法,该方法使得网络用户无须保存其密钥也可以安全地与其他用户进行通信。同时提出了手写签名的快速认证方法,该方法采用了包括笔迹起点、终点信息、笔迹方向信息及笔划数等信息在内的匹配函数,在签名对准过程中,根据曲折点的曲率、方向确定旋转、平移变换,大大减少了对准时间。 With the development of network,the level of information application becomes more and more high,so the safety of network information looks more and more important gradually.Cryptograph technology is now widely applied in information safety field.This paper describes some defection existing in current cryptograph technology,and presents an improving method of connecting rapid verification for handwriting with cryptograph technology.This method makes net-work users communicate with other users safely without keeping their cryptograph keys.
出处 《计算机工程与应用》 CSCD 北大核心 2003年第30期72-74,共3页 Computer Engineering and Applications
基金 湖南省自然科学基金资助项目(编号:99JJY20058)
关键词 密码技术 签名认证 特征提取 特征匹配 Cryptograph technology,Signature verification,Feature extraction,Feature matching
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参考文献5

  • 1[1]Plamond R,Lorette G.Automatic signature verification and writer i- dentification---the state of art[J].Pattern Recognition,1989;22(2):101~130
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  • 3[3]Massey J L.Cryptography:Fundamentals and Applications. Advanced Technology Seminars, Zurich, 1993
  • 4[4]RSA Laboratories.The Public-key Cryptography Standards PKCS#5: Password-Based Encryption Standard[S].version 1.5, RSA Data Security, Inc., Redwood City, California, 1993-11
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同被引文献5

  • 1马海豹,刘漫丹,张岑.基于小波包分析的在线手写签名认证方法[J].计算机工程与应用,2007,43(12):235-238. 被引量:5
  • 2Kwon Heeyong,Ha Eunyong,Hwang Heeyeung.Online signature verification baaed on dynamic feature segmentation and 3-step matching[J].LNCS,2003:1062-1065.
  • 3Kulbacki M,Segen J,Bak A.Unsupervised learning motion models using dynamic time warping[C]//Proceedinga of the IIS'2002 Symposium on Intelligent Information Systems Table of Contents.Sopot,Poland:Physica-Verlag,2002:217-226.
  • 4Keogh E J,Pazzani M J.Derivative dynamic time warping[C]//First SIAM Conference on Data Mining,Chicago,USA,2001.
  • 5栾方军,马驷良,程开东.在线手写签名的识别算法[J].吉林大学学报(理学版),2004,42(2):226-229. 被引量:11

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