Vine model creating method for finger vein tridimensional characteristic identification

Abstract

The invention relates to a vine model creating method for finger vein tridimensional characteristic identification. The vine model creating method the following steps of: firstly, simplifying and abstracting a finger vein spatial structure according to principles of uniform pipe diameter, graded rattan, node subdivision and extension constraint; and then, providing elements, attributes and mathematical description of a vein model; and finally, drawing a vein stereopicture according to the data structure of the vein model. The finger vein vine model is used for guiding the tridimensional reconstruction to reduce the influences of certain factors, for example, repairing broken veins, eliminating burrs and noise and fitting vein spatial curve; and the method disclosed by the invention can abstract and simplify the complex tridimensional vein spatial structure to facilitate the data organization and characteristic extraction.

Description

technical field [0001] The invention mainly relates to a vine model modeling method for three-dimensional feature recognition of finger veins, and belongs to the technical field of security biometric feature recognition. Background technique [0002] Finger vein recognition is currently a research hotspot in the field of biometric identification. Its main advantage is that veins are hidden inside the finger, which is a living feature, not easy to be forged or stolen, and convenient and safe to collect. The current research on finger vein recognition covers image enhancement, image segmentation, feature extraction and matching, etc., but the above studies only focus on the two-dimensional projection image of finger veins. The main problems are: (1) three-dimensional finger veins The distribution is unique, but finger veins with different three-dimensional distributions may have the same or similar two-dimensional plane projections, which brings hidden dangers to the security ...

AI Technical Summary

Problems solved by technology

The current research on finger vein recognition covers image enhancement, image segmentation, feature extraction and matching, etc., but the above studies only focus on the two-dimensional projection image of finger veins. The main problems are: (1) three-dimensional finger veins The distribution is unique, but finger veins with different three-dimensional distributions may have the same or similar two-dimensional plane projections, which brings hidden dangers to the security of vein recognition; (2) Fingers often have postures such as rotation during registration and authentication Transformation can easily lead to two-dimensional plane projections with large differences in the same finger veins, resulting in a decline in recognition rate

At present, the acquisition of vein images is widely carried out by infrared transmission or reflection. Due to the interference of muscle and bone tissue, it is difficult to obtain clear finger vein images, resulting in frequent breakage and burr interference in the segmented vein lines; and finger vein images It is also affected by many factors of the finger itself. For example, when the finger is pressed, the veins in the collected image will break and deform. Under the same light source, the thickness of the finger is different or the ambient temperature is different, and the clarity of the vein in the collected image is quite different.

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