基于最小二乘轮廓对齐的签名识别新方法

K. Wrobel, R. Doroz
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引用次数: 17

摘要

提出了一种基于最小二乘轮廓对齐的签名识别新方法。在研究过程中,对签名的X、Y、P、V X、V Y、V P等6个特征进行了分析,并在分析特征的基础上绘制了二维图。一个签名的任何特征的连续元素的值作为图上点的坐标。然后,以这种方式创建的图表被视为等高线,并相互比较。在研究中,还对单个特征的有用性进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The New Method of Signature Recognition Based on Least Squares Contour Alignment
The paper presents a new method of signature recognition based on least squares contour alignment. During the study six features of signatures were examined, such as: X, Y , P, V x, V y, V p. On the basis of the analyzed features of each signature two-dimensional graphs were created. Values of successive elements of any features of a signature, were taken as coordinates of points on the chart. Then, the chart created in such a way was treated as a contour and compared each other. In the study, usefulness of individual features was also evaluated.
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