现有指纹识别算法对指纹图像质量要求较高，特别是在变形指纹识别中鲁棒性不强。基于指纹特征属性和细节点、脊线拓扑关系的拓扑模式从整体到局部，具备以拓扑性质为基础的不同层次的几何不变性，在指纹变形中具有更高的鲁棒性。通过对指纹细节点、脊线属性及点、线拓扑关系的分析与计算，构建了两种基于指纹细节点、脊线的拓扑模式，实验结果验证了所构建的两种拓扑模式在指纹平移、旋转、缩放及轻微非线性变形中具有较高的鲁棒性，可用于变形等低质量指纹图像的识别中。

Existing fingerprint identification algorithms require higher quality fingerprint image and they are not robust for transformed fingerprint recognition. The topology pattern, which is based on the fingerprint topological properties and relationships has different levels of geometric invariance from the complete image to the local image parts and has a higher robustness in recognizing deformed fingerprints. In this paper,two different topology patterns, which are based on the attributions and topological relationship among the fingerprint minutiae and ridges are constructed. The experiment results show that the two constructed topological patterns have strong robustness for the deformed fingerprint image and can be used very well with images of poor quality especially for the slightly transformed fingerprint recognition.