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Fingerprint Representation Methods Based on B-Spline Functions

机译:基于B样条函数的指纹表示方法

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摘要

The global characteristics of a fingerprint image such as the ridge shape and ridge topology are often ignored in most automatic fingerprint verification system. In this paper, a new representative method based on B-Spline curve is proposed to addressthis problem. The resultant B-Spline curves can represent the global characteristics completely and the curves are analyzable and precise. An algorithm is also proposed to extract the curves from the fingerprint image, In addition to preserve the most information of the fingerprint image, the knot-points number of the B-Spline curve is reduced to minimum in this algorithm. At the same time, the influence of the fingerprint image noise is discussed. In the end, an example is given to demonstrate the effectiveness of the representation method.
机译:在大多数自动指纹验证系统中,通常会忽略指纹图像的整体特征,例如脊形状和脊拓扑。本文提出了一种新的基于B样条曲线的代表性方法来解决这个问题。所得的B样条曲线可以完全代表全局特征,并且这些曲线可以分析且精确。还提出了一种从指纹图像中提取曲线的算法。该算法除了保留指纹图像的最大信息外,还减少了B样条曲线的结点数。同时,讨论了指纹图像噪声的影响。最后,通过一个例子说明了表示方法的有效性。

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