Multi-scale palmprint recognition using registration information and 2D Gabor feature

This paper describes a novel method for palmprint recognition based on registration information and 2D Gabor features. After preprocessing, a unified coordinate system is constructed for each palmprint image and used to guide ROI extraction. A multi-scale matching strategy is employed to match registration information and 2D Gabor features. In the first two levels, registration information is extracted and used to measure the global similarity between two palmprint patterns. In the third level, two palmprints are aligned with their registration information and then are matched using their corresponding Gabor features. The experimental results demonstrate the effectiveness of the method.