Finger vein and fingerprint fusion identification method of middle part of finger

Abstract

The invention relates to a finger vein and fingerprint fusion identification method of a middle part of a finger. A near-infrared transmission image of a middle part of a finger is collected; a binary fingerprint image is extracted based on a local gradient feature analysis and binary finger vein information is extracted by using a local-OTSU-based segmentation method; according to an SIFT-based matching algorithm, a similarity between a sample binary fingerprint image and a template binary fingerprint image is calculated, and for the determined similar binary fingerprint images, an affine transformation coefficient between the images is calculated; and normalization is carried out on the sample binary fingerprint image by using the affine transformation coefficient, a similarity between the sample binary finger vein normalization image and a template binary finger vein image is measured by using a template matching method, and whether the current sample image is consistent with the template image is determined. Therefore, defects of poor security of single fingerprint identification and poor usability of single finger vein identification can be overcome. The method can be widely applied to a high-security-level identity identification system.

Description

technical field [0001] The invention relates to an identification method which combines finger vein features and fingerprint features, and belongs to the technical field of security biological feature identification. Background technique [0002] Finger vein recognition is currently a research hotspot in the field of biometric recognition. Its main advantage is that veins are hidden inside the body and are not easy to be copied, stolen or interfered with. It can be widely used in the fields of access control and attendance in banks, offices, shopping malls and other places, and has great theoretical research significance and market application value. However, the finger vein is a non-rigid body structure. When collecting finger vein images, the difference between the acquisition equipment and the acquisition environment, the position and posture of the finger, will cause certain changes in the acquired image, which will affect the subsequent recognition. In order to improve...

AI Technical Summary

Problems solved by technology

There are also patents and literatures that propose to collect 3D information of finger veins for recognition and analysis, which can effectively improve the recognition accuracy, but this method has high requirements for collection hardware, which increases the cost of the entire system ...

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