Finger vein recognition method

An identification method and finger vein technology, applied in the field of finger veins, can solve the problems of low definition of vein images, the performance of identification algorithms, image rotation, translation, and the influence of noise, and achieve the effects of high-precision acquisition and improved identification accuracy.

Pending Publication Date: 2019-08-13
TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0003] During the recognition process of the finger vein recognition equipment, the original finger vein image collected is of low resolution due to the inability to accurately

Method used

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Embodiment Construction

[0017] The invention provides a human finger vein recognition method with precise recognition.

[0018] Specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention.

[0019] refer to figure 1 , figure 1 It is a feature extraction flow chart of an embodiment of the finger vein recognition algorithm; as Figure 1 As shown, the extraction method includes steps S1 to S7.

[0020] In step S1, the currently collected finger vein image is obtained, the edge in the vertical direction is detected by calculating the gradient in the horizontal direction of the grayscale image, and the edge in the horizontal direction is detected by calculating the gradient in the vertical direction of the grayscale image;

[0021] In step S2, the gray value of the effective information is more concentrated, and the effective interval span is less than 0-255, using the formula Perform linear normalization processing;

[00...

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Abstract

The invention relates to a finger vein recognition method. The method comprises the following steps: S1, carrying out ROI positioning on an image acquired by a high-definition camera; S2, performing gray normalization processing on different parts of the image; S3, performing mean filtering and Gaussian filtering on the image to eliminate noise; S4, judging the central positions of the lines by using curvature detection; S5, enhancing the contrast of the grey-scale map through gamma transformation; S6, judging edge pixel points by using a refinement algorithm based on an index table; and S7, carrying out fusion, expansion and smoothing treatment on the extracted finger vein skeleton. Finger vein recognition is performed through template matching, Hu invariant moment and improved Zernike moment. Particularly, under the condition of unclear image acquisition, the method has relatively high anti-interference capability and relatively high-precision identification capability.

Description

technical field [0001] The invention belongs to the technical field of image processing and biometric identification, and in particular relates to a finger vein. recognition methods. Background technique [0002] Finger vein recognition is a technology that uses the biological characteristics of the human body to identify personal identity. At present, biometric identification technology mainly relies on fingerprint identification and iris identification, and these two types belong to the collection of body surface information characteristics of the human body, which are easy to be stolen and imitated. As a new generation of human body feature recognition technology, finger vein recognition technology prevents personal information features from being stolen due to its liveness and uniqueness. At the same time, it also avoids the influence brought by other environmental factors. [0003] During the recognition process of the finger vein recognition equipment, the original ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/40G06K9/44G06K9/34
CPCG06V40/10G06V40/14G06V10/34G06V10/30G06V10/25G06V10/267
Inventor 周卫斌信振朝胡阳阳
Owner TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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