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Handwritten signature recognition method based on fuzzy logic

机译:基于模糊逻辑的手写签名识别方法

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We suggested a method for handwritten signature recognition based on fuzzy logic. First of all, we proposed some features of handwritten signature based on curvature properties with fuzzy values. Then we proposed a method for signature recognition based on comparing these fuzzy features. We used collection of signatures MCYT_Signature_100 for testing our method. Signature recognition experiment has been conducted with 100 users, 25 original and 25 fake signatures for each user. As a result, we have got FRR value 0.03 and FAR value 0.01 which are better than the results of some other methods.
机译:我们提出了一种基于模糊逻辑的手写签名识别方法。首先,我们基于具有模糊值的曲率性质,提出了手写签名的一些特征。然后我们提出了一种基于模糊特征比较的签名识别方法。我们使用签名集合MCYT_Signature_100来测试我们的方法。已经对100个用户进行了签名识别实验,每个用户有25个原始签名和25个假签名。结果,我们获得了FRR值0.03和FAR值0.01,这比其他方法的结果更好。

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