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Identity authentication method and device based on a finger vein and equipment

An identity authentication and finger vein technology, applied in the field of biometric identification, can solve the problems of unstable feature points, insufficient number, and small number of feature point pairs, and achieve the effect of improving matching accuracy, recognition accuracy, and accuracy.

Active Publication Date: 2019-01-25
GRG BAKING EQUIP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the collected vein texture is not clear and the recognized vein texture is sparse, the number of effective feature points that can be extracted based on the local block of the image will be insufficient; or the feature points are unstable, and the feature points extracted from two images of the same finger The point is not the same point of the finger vein, resulting in a small number of feature point pairs matched by the same finger, and the matching recognition accuracy is low

Method used

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  • Identity authentication method and device based on a finger vein and equipment
  • Identity authentication method and device based on a finger vein and equipment
  • Identity authentication method and device based on a finger vein and equipment

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Embodiment 1

[0065] This invention proposes an identity authentication method based on finger veins, please refer to figure 1 , figure 1 A flow chart of the finger vein-based identity authentication method provided in this embodiment; the method may include:

[0066] Step s110, performing preprocessing on the received image of the finger vein to be recognized to obtain a preprocessed image.

[0067] The preprocessing process can include cutting out the edge background of the image, positioning the specified recognition area (locating the finger rectangular area ROI for the finger vein image), correcting the angle of the finger plane rotation, adjusting the gray level of the finger vein image, and normalizing the size etc., the specific preprocessing means are not limited, and the preprocessing process can be configured according to the image collection effect of the finger vein collection device.

[0068] Step s120, perform convolution calculation on the preprocessed image, and generate ...

Embodiment 2

[0090] In the above embodiment, the specific process of global screening of the feature points in the feature point map in proportion to the feature value size and feature point coordinate information of the feature point map is not limited, and different screening rules can be set according to needs.

[0091] In this embodiment, the feature point map or the image to be matched with feature points is divided into M*N block feature submaps on average, and the feature points with the largest feature value are selected from the M*N block feature submap, and n Feature points are introduced as a screening method for feature points to be matched.

[0092] Wherein, M and N are any positive integers, n is not greater than M*N, and the number of feature points in each block is not more than 1. The block image to be matched can be a feature point map, or an image containing feature point information (such as a vein texture map after feature point corresponding labeling, etc.), and the i...

Embodiment 3

[0098] Since the image pixel (foreground) value of the preprocessed vein pattern area is smaller than the background pixel value, its convolution value is greater than 0, and the convolution value in the direction vertical to the vein pattern is the largest. On the contrary, the convolution value of the background area is approximately equal to 0, and at the inflection point and intersection point of the vein, the direction of the vein is more than one, and usually the smallest convolution value is also greater than 0. In order to improve the accuracy of vein recognition, when the feature point map is generated according to the calculated convolution value, the overall vein pattern and the inflection point of the vein fork can be analyzed in detail. There are more veins in the area near the vein inflection point, and the inflection point features are more obvious. The convolution value is large, and the corresponding feature value is also large, which is easy to match the same ...

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Abstract

The invention discloses an identity authentication method based on a finger vein, which comprises the following steps: pre-processing the received finger vein image to be identified to obtain a pre-processed image; Convolution calculation is carried out on the preprocessed image, and characteristic point map and vein pattern map are generated according to the obtained convolution value. Accordingto the eigenvalue size and coordinate information of the feature points in the feature point map, the feature points in the feature point map are selected globally according to the preset conditions,and the feature points with high eigenvalue in the global distribution are taken as the feature points to be matched. The vein pattern and template image are matched and compared according to the feature points to be matched, and the identity authentication result is generated according to the matched result. This method extracts feature points from global and local features to obtain globally distributed feature points with high eigenvalues, which can improve the accuracy of vein texture recognition and generate high-precision recognition results. The invention also discloses an identity authentication device e based on a finger vein and equipment, which have the beneficial effects mentioned above.

Description

technical field [0001] The invention relates to the field of biometric identification, in particular to an identity authentication method, device and equipment based on finger veins. Background technique [0002] Finger vein recognition technology uses the vein pattern image obtained after the near-infrared rays penetrate the finger for personal identification, and collects the structural image of the blood direction that is invisible to the naked eye. The blood is hidden inside the skin and is not easy to copy. It is a high-precision, high-speed, High security living biometric technology. Among all kinds of biometric identification technologies, because it is a technology that utilizes internal biological characteristics that cannot be seen from the outside, and must be based on living body identification, it has attracted attention as a second-generation biometric identification technology with high anti-counterfeiting. At present, it is widely used in authentication equi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/10G06V40/14G06V10/751G06F18/2113
Inventor 黄跃珍王丹丹陈良旭王晓亮
Owner GRG BAKING EQUIP CO LTD
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