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基于加权平均梯度方向场和改进Poincare Index的指纹奇异点检测算法
引用本文:付佳,潘伟,郝重阳.基于加权平均梯度方向场和改进Poincare Index的指纹奇异点检测算法[J].计算机应用,2007,27(10):2563-2565.
作者姓名:付佳  潘伟  郝重阳
作者单位:西北工业大学,电子信息学院,西安,710072;中国空间技术研究院,北京,100086
摘    要:针对指纹图像具有局部平行性和渐变性以及邻域的脊线方向相关性高的特点,提出了一种基于加权平均梯度的指纹方向场算法。改进了传统的Poincare Index指纹奇异点检测算法。实验证明,在采用加权平均梯度算法获取的方向场上利用改进的Poincare Index算法可实现对低质量指纹图像的奇异点的准确提取。

关 键 词:指纹  奇异点  加权平均梯度方向场  Poincare  Index
文章编号:1001-9081(2007)10-2563-03
收稿时间:2007-04-11
修稿时间:2007年4月11日

Fingerprint singular points detection based on both weighted averaging gradient directional field and improved Poincare Index
FU Jia,PAN Wei,HAO Chong-yang.Fingerprint singular points detection based on both weighted averaging gradient directional field and improved Poincare Index[J].journal of Computer Applications,2007,27(10):2563-2565.
Authors:FU Jia  PAN Wei  HAO Chong-yang
Abstract:Because the fingerprint is characterized by the local parallel, gradual change and high correlation of neighborhoods, a gradient based weighted averaging algorithm was proposed. The conventional poincare index algorithm for detecting the singular points of fingerprint was improved. The experimental results suggest that the improved poincare index algorithm on the weighted averaging gradient directional field can accurately detect the singular points of fingerprint.
Keywords:fingerprint  singular point  weighted averaging gradient directional field  Poincare Index
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