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An Efficient Online Signature Verification Scheme Using Dynamic Programming of String Matching

机译:使用字符串匹配动态编程的高效在线签名验证方案

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The necessity to authenticate individuals is rapidly increasing day by day with the explosive growth of E-commerce, E-finance, PDA, etc. Handwritten signature is the most widely used and easiest way to verify a person. Online signature verification is a very active and hot topic in the field of biometric research. It is a potential candidate to replace traditional password-based security system as the password can be forgotten, stolen or guessed. Online signature verification deals with both spatial and temporal features of signature. Therefore, it is difficult to forge. This paper proposes a novel online signature verification technique using dynamic programming of string matching. The performance of the proposed approach is evaluated for both genuine signatures and skilled forgeries on SVC2004 database. The proposed approach produces a False Acceptance Rate (FAR) of 4.13% and False Rejection Rate (FRR) of 5.5% with an Equal Error Rate (ERR) of 5%.
机译:随着电子商务,电子金融,PDA等的爆炸性增长,对个人进行身份验证的必要性正在迅速增加。手写签名是验证个人身份的最广泛使用和最简便的方法。在线签名验证是生物识别研究领域中非常活跃和热门的话题。替换传统的基于密码的安全系统是一个潜在的选择,因为密码可能会被忘记,被盗或被猜中。在线签名验证涉及签名的时空特征。因此,很难伪造。本文提出了一种基于字符串匹配动态编程的新型在线签名验证技术。针对SVC2004数据库上的真实签名和熟练伪造,评估了所提出方法的性能。所提出的方法产生4.13%的错误接受率(FAR)和5.5%的错误拒绝率(FRR),以及5%的均等错误率(ERR)。

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