A Research on Extracting Low Quality Human Finger Vein Pattern Characteristics
Yu Chengbo, Huafeng Qing, Zhang Lian · 2008
Based on fuzzy theory and combined the image segmentation algorithm and concave detection algorithm, this paper proposed an enhanced method for extracting finger vein features. Firstly, based on the concave configuration characteristic of the finger vein image, the detection operator is defined to detect the concave area. Secondly, the finger vein image is segmented three regions through by twice coarse segmentation. The three regions are objects region, background region and fuzzy region. The fuzzy region is improved by enhancement algorithm then. Finally, the enhancement region is subdivided. The experiment results show that it is not only effective in removing noise and false vein feature, but also extracted vein features is smooth and continuous. So it is very perfect to extract features of low quality human finger vein image.