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基于自动参数标准化的指纹分割方法(英文)
Segmentation of Fingerprint Image Based on Automatic-parameter Normalization
【摘要】 提出了一种合成的指纹分割方法:基于自动参数标准化的指纹分割方法。这个方法应用指纹图像中方向图和灰度变化信息,具有高效性和强壮性的特点。与以往指纹分割方法中固定参数标准化相比,基于自动参数标准化的指纹分割方法可以把指纹图像最大程度的标准化而不会恶化指纹图像细节。
【Abstract】 A combined method to segment fingerprint images,based on automatic-parameter normalization,is presented in this paper.Taking directional field and gray variance information in the fingerprint image into account,the method holds an efficient and robust feature.Compared with fixed-parameter normalization in former segmentation methods,the automatic-parameter normalization presented in this paper can normalize the fingerprint image to a maximum extent while not deteriorating any local image feature.
【关键词】 指纹图像分割;
直方图;
阈值;
有效窗口;
灰度差异;
【Key words】 Fingerprint segmentation; Histogram; Threshold; Valid area window; Gray variance;
【Key words】 Fingerprint segmentation; Histogram; Threshold; Valid area window; Gray variance;
- 【文献出处】 中国图象图形学报 ,Journal of Image and Graphics , 编辑部邮箱 ,2008年04期
- 【分类号】TP391.41
- 【被引频次】1
- 【下载频次】77