An improved algorithm of the traditional fingerprint image segmentation algorithm-variance method is proposed.
提出了一种传统的指纹图像分割算法——方差法的改进算法。
A fingerprint image segmentation algorithm based on frequency of gray scale and 8-direction image is proposed.
提出基于灰度值频数和遍历八方向的指纹图像分割算法。
This paper proposes an algorithm, which by reasonable using the gray-level-statistics of fingerprint images, resolves the problem of fingerprint image segmentation with low computational cost.
通过合理地运用指纹图像的灰度特性，以较低的计算代价有效地解决了指纹图像的分割问题，从而使算法的处理效果好、运行速度快。
Address the traditional variance-based method for fingerprint image segmentation problems, put forward an improved algorithm for fingerprint image segmentation.
针对传统的基于方差法的指纹图像分割法存在的问题，提出了一种改进的指纹图像分割算法。
This algorithm solves the problem of fingerprint image segmentation with low computational cost based on reasonable application of the gray-level-statistics of fingerprint images.
算法中通过合理的运用图像灰度特性，以较低的计算代价有效地解决了指纹图像分割问题。
This algorithm solves the problem of fingerprint image segmentation with low computational cost based on reasonable application of the gray-level-statistics of fingerprint images.
算法中通过合理的运用图像灰度特性，以较低的计算代价有效地解决了指纹图像分割问题。
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