Geometric shape analysis based finger vein deformation detection and correction

Image deformation degrades the performance of finger vein recognition seriously. Some deformation-robust feature extraction and matching methods have been proposed to deal with this problem. However, the deformed image cannot be detected and corrected by these methods. So, it is essential to carry out the image deformation detection and correction in the preprocessing stage. This paper proposes a geometric analysis based detection and correction (GADC) method for deformable finger vein recognition. Specifically, the geometric shape of the finger is analyzed firstly. And then, the deformed finger vein image is detected based on the variation of the finger geometric shape. Lastly, the deformed image is corrected by a linear transformation and a nonlinear transformation. The experiments, on two opened databases and one self-built deformation database, show that our approach can improve the recognition performance of the deformed finger vein images.