An ultra-thin vein recognition device and its recognition method

Abstract

The invention discloses an ultra-thin vein identification device and its identification method. When a finger is placed in the vein identification area, the left sensor and the right sensor are triggered, and the left sensor and the right sensor send a signal that the finger is placed in the vein identification area to the controller. , the controller sends a flash instruction to the near-infrared light-emitting diode, and the near-infrared light-emitting diode emits near-infrared light according to the instruction. The near-infrared light is projected through the finger, and the non-infrared light is filtered out by the filter, and the finger outline image is presented on the plane mirror. The sensor senses an image of the outline of the finger, and the sensing camera shoots the image of the outline of the finger, which is then sent to the controller for identification. The invention utilizes the imaging principle of the plane mirror to shorten the distance between the images of objects and change the angle in disguised form to achieve a miniaturized structure.

Description

technical field [0001] The invention relates to the technical field of identification, in particular to an ultra-thin vein identification device and an identification method thereof. Background technique [0002] Vein identification, a type of biometric identification. Vein recognition is a method of irradiating the finger with near infrared rays, obtaining the finger vein distribution map with a CMOS or CCD lens, and extracting the eigenvalues ​​from the vein distribution map according to the algorithm and storing them in the computer system to realize the eigenvalue storage. During vein identification, the finger vein distribution map is taken in real time, and the digital image features are extracted by filtering, image binarization and refinement methods, and the matching algorithm is used to compare and match the vein feature values ​​stored in the host, so as to identify individuals. identifying. [0003] Finger vein identification technology, and face recognition, f...

AI Technical Summary

Problems solved by technology

[0004] At present, the vein recognition equipment is quite large, which limits the promotion and application in more industries. For example, the identity recognition of notebook computers hopes to have smaller equipment, and hopes to embed it in notebooks.

However, according to the principle of convex lens imaging, the distance between the vein and the lens is required to be greater than 2 times the focal length, which limits the further miniaturization of vein recognition equipment.

Since vein recognition has a great relationship with finger placement, if the user places fingers at will, the recognition rate will inevitably decrease.

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