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Efficient online signature authentication approach

机译:高效的在线签名认证方法

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Signature authentication systems often have to focus their processing on acquired dynamic and/or static signatures descriptors to authenticate persons. This approach gives satisfactory results in ordinary cases but remains vulnerable against skilled forgeries. This is mainly because there is no relation between the signatory and his signature. We will show that the inclusion of the hand shape in the authentication process will considerably reduce the false acceptance rates of skilled forgeries and improve the authentication accuracy performances. A new online hand signature authentication approach based on both signature and hand shape descriptor is proposed. The signature acquisition is completely transparent, which allows a high level of security against fraudulent imitation attempts. Authentication performances are evaluated with extensive experiments. The obtained test results [equal error rate (EER) = 2%, genuine acceptance rate (GAR) = 96%] confirm the efficiency of the proposed approach.
机译:签名认证系统通常必须将其处理集中在获取的动态和/或静态签名描述符上,以对人员进行认证。在通常情况下,此方法可提供令人满意的结果,但仍然容易受到熟练的伪造。这主要是因为签名人与其签名之间没有任何关系。我们将证明,在认证过程中包括手形将大大降低熟练伪造品的错误接受率,并提高认证准确性。提出了一种基于签名和手形描述符的在线手签名认证新方法。签名获取是完全透明的,从而可以针对欺诈性模仿尝试提供高度的安全性。认证性能通过大量实验进行评估。获得的测试结果[平均错误率(EER)= 2%,真实接受率(GAR)= 96%]证实了该方法的有效性。

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