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Fingerpring sub-classification and singular point detection

机译:指纹分类和奇异点检测

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摘要

This paper presents a novel approach to fingerprint singular point detection. Singular points (cores and deltas) are used for fingerprint classification, sub-classification and registration. This method exploits the stability of the directional field pattern extracted from singular point regions at different resolution levels. The procedure is invariant to translations scaling and small rotations. A fingerprint sub-classification procedure was built based on the proposed singular point detection method.
机译:本文提出了一种新的指纹奇异点检测方法。奇异点(核心和增量)用于指纹分类,子分类和配准。该方法利用了从不同分辨率级别的奇异点区域提取的定向场模式的稳定性。该过程对于平移缩放和小旋转是不变的。基于提出的奇异点检测方法,建立了指纹分类方法。

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