为了有效地进行指纹图像的分割。在分析了Gabor滤波器虚部特征的基础上，在指纹图像的分割中引入了Gabor滤波器虚部的滤波结果作为新的指纹图像特征，并通过加权平均的分割策略；获得了较好的实验结果。同时，为了提高分割速度，还改进了特定条件下的Gabor滤波算法，从而有效地降低了算法的时间复杂度。

Fingerprint segmentation is an important step in fingerprint identification processing. For effective fingerprint segmentation, the properties of the imaginary of Gabor Filter are analyzed and introduced into the fingerprint segmentation processing as a new feature of the fingerprint area. By using this new feature and other two assistance features, namely the local mean value and the local variance, good segmentation results are gotten with the weighted average segmentation method, which shows the result of the imaginary of Gabor Filter is an effective feature of fingerprint images. In order to get a faster algorithm, the Gabor filter algorithm is also accelerated in special conditions, which reduces the complexity of the proposed algorithm efficiently.