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Off-Line Arabic Signature Verification Using Geometrical Features

机译:使用几何特征进行离线阿拉伯语签名验证

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In this paper, it has been presented an off-line signature verification scheme using the combination of geometrical and grid features. First, the geometrical features use four border points in the direction of right and left, up and down in addition to two lengths between vertical and horizontal directions. The first two points are connected between left point and the right. The second two points are connected from highest point to the lowest point. The second test uses the grid features from the core of the signature image. The sample population for this study consists of 360 personal signatures collected from 60 Arabic native speakers and all the specimen signatures are stored in Oracle database. One specimen signature is fetched from the Oracle database for this study. The combination of two methods namely geometrical and grid features reduces the accuracy of the algorithm under False Rejection Rate (FRR) scale which is proved to be less than 0.16.
机译:在本文中,提出了一种结合了几何和网格特征的离线签名验证方案。首先,除了垂直和水平方向之间的两个长度外,几何特征还在左右方向,上下方向上使用四个边界点。前两个点连接在左点和右点之间。后两个点从最高点到最低点相连。第二个测试使用签名图像核心的网格特征。该研究的样本人群包括从60位阿拉伯语母语人士那里收集的360个个人签名,所有样本签名都存储在Oracle数据库中。从本研究的Oracle数据库中获取了一个样本签名。几何和网格特征这两种方法的组合降低了在错误拒绝率(FRR)尺度下算法的准确性,事实证明该比率小于0.16。

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