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  • 标题:Securing Iris Templates using Double Encryption Method
  • 本地全文:下载
  • 作者:Sowkarthika.S ; Radha.N.
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:11
  • 出版社:S.S. Mishra
  • 摘要:The important aspect of all verification system is authentication and security. This aspect necessitates the development of a method that ensures user security and privacy. The traditional methods such as tokens and passwords provide security to the users. Uncertainly, the attackers can easily compromise these techniques. In recent years, the combination of biometrics and cryptography techniques has been proved as a efficient way to achieve security. The important feature of using biometric template is that it cannot be revoked by an unauthorized user. Most commonly used biometric features are iris, retina, fingerprint, face, palmprint, hand geometry, voice and so on. Fuzzy vault is the framework which comprises the combination of biometrics and cryptographic key generation technique. This fuzzy vault act as a additional layer of security. This paper proposes a biometric verification system investigating the usage of multibiometric features and fuzzy vault scheme.The fuzzy vault is again encoded using DAES algorithm. This concept is referred as d ouble encryption in this paper. This approach uses multiple impressions of iris in order to provide higher accuracy rate. Experiments were conducted to investigate the performance of the proposed system in ensuring the user security and privacy
  • 关键词:Authentication; Cryptography; Fuzzy Vault Scheme; Iris Extraction
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