关键词: 掌静脉, 掌纹, 融合识别, 引导滤波

Abstract: The traditional palm vein and palmprint fusion recognition needs to obtain the palm vein images and the palmprint images separately. However, the palm vein and palmprint structure information actually exists in the same near infrared palm image. Because the palm vein and palmprint structures stay in the different ranges of pixel values, and their local texture information is also distinct, the palm vein and the palmprint can be separated from a single near infrared palm image and then enhanced individually. Firstly, an improved self-guided filter algorithm is proposed to remove the palmprint structure, and the anti-fuzzy detail enhancement model is designed to enhance the image of the palm vein structure. Then, an improved block enhancement algorithm is proposed to enhance the palmprint structure and remove the palm vein structure. Besides, the Sobel operator unsharp masking algorithm is used to highlight the main line structure of the palmprint. Finally, a recognition algorithm is presented based on the image fusion of palm vein and palmprint. Experiments are implemented on the multispectral palmprint database of HongKong Polytechnic University, and the experimental results show that the fusion recognition rate has reached 99.63%. Compared with the other existing algorithms, the equal error rate of the proposed algorithm is reduced by 0.66% in average, which validates the effectiveness of the proposed algorithm.

Key words: palm vein, palmprint, fusion recognition, guided filter