The palmprint enhancement algorithm and the palm vein enhancement algorithm in single near infrared palm vein palmprint fusion recognition algorithm can not highlight the palmprint structure and palm vein structure well. To solve this problem, this paper proposed an improved palmprint and palm vein fusion algorithm. First, it used the block model to remove the palm to get the structure of the pure palmprint, and defined a new membership function to make palmprint structure fuzzified, then it combined the fuzzy palmprint structure with the anti-sharpening mask method to highlight the palmprint structure information. Secondly, it used edge detection weighted guided filtering to enhance the structure of the palm vein so that the palm vein structure was highlighted. Finally, it acquired the palmprint and palm vein images for adaptive weight fusion. The experimental results show that the recognition rate of the improved fusion recognition algorithm reaches 99.81%.

[2019-06-05] Printed Article /doc/2018.01.0055/v2