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Improved directional filter and flexible matching based recognition method

A technology of directional filtering and recognition methods, which is applied in the directions of character and pattern recognition, instruments, computer parts, etc., can solve the problems of great influence on the accuracy of recognition results, large amount of calculation, and great influence on image quality recognition results, etc., to achieve The effect of high reliability, high precision and high use value

Active Publication Date: 2014-10-29
华正清圆(天津)科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Miura et al. proposed a method based on repeated line tracing for vein extraction. The vein extraction effect of this method is better, but the image quality has a greater impact on the recognition results.
Badawi et al. used a point-by-point pixel comparison method for vein matching on the preprocessed vein images. This point-by-point pixel matching method also makes the calculation of the algorithm too large.
Yu Chengbo et al. used the Hausdorff distance to identify the minutiae features of vein images. Although the amount of calculation was reduced, the recognition results were greatly affected by the accuracy of minutiae point set extraction.

Method used

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  • Improved directional filter and flexible matching based recognition method

Examples

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Embodiment 1

[0037] A recognition method based on improved direction filtering and flexible matching. Firstly, for the read finger vein image, the direction characteristic of the vein pattern is used to design the neighborhood direction suitable for each pixel of the finger vein image to form a direction template, and the direction filter The design of the template expands the traditional 7×7 template into a 9×9 template to solve the problem of template overflow caused by rotating the template in the horizontal direction to obtain templates in other directions; on this basis, using the idea of ​​flexible matching , within a certain range of angle and radius to achieve matching recognition between detail feature point sets. Such as figure 1 shown

[0038] From the topological structure of finger veins, it can be seen that the vein lines extend in a specific direction and have obvious directionality. However, the traditional filter does not take into account the direction information of the...

Embodiment example 2

[0040] According to the recognition method based on improved directional filtering and flexible matching described in Embodiment 1, the directional filtering template of the pixel point neighborhood of the finger vein image, the described directional filtering template sets the neighborhood of each pixel point to 8 For the discrete direction centered on the pixel point, the reference pixel point is located at the center of the direction filter template, and the values ​​1-8 on the direction filter template respectively correspond to 8 discrete directions, that is, starting from the horizontal position, press In the counterclockwise direction, a direction is determined every 22.5°. The direction angle range of the direction filtering template is [0, п) and the template is in the five adjacent directions of 1, 2, 3, 7, and 8 tending to the horizontal direction. There are more pixels in the domain, and fewer pixels in the neighborhood taken in the vertical directions of 4, 5, and ...

Embodiment example 3

[0050] According to the identification method based on improved directional filtering and flexible matching described in embodiment 1 or 2, the expanded directional filtering template aims at the template overflow problem generated when the template in other directions is obtained by rotating the template in the horizontal direction, the present invention Expand the traditional 7×7 template into a template with a size of 9×9. The coefficients of the outermost circle of the expanded template are all 0. When using this template to obtain templates in other directions, only the 7×7 in the center of the template is used. Coordinate rotation is carried out for the coefficients within the range, and the positions without coefficients in the rotated template are represented by 0, which avoids the situation of discarding coefficients when the template rotation overflows, and will not destroy the distribution of coefficients.

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Abstract

The invention relates to an improved directional filter and flexible matching based recognition method. The gray level difference between finger vein image blood vessels collected under the near-infrared light conditions and the background is small, the contrast ratio is low, and accordingly the subsequent matching recognition of a finger vein image is affected. The improved directional filter and flexible matching based recognition method comprises designing out the neighborhood direction which is suitable for every pixel point of the read finger vein image through the directional characteristics of vein patterns to form a direction template; solving a directional pattern of the vein image through the template; performing direction filtering on the image according to the direction of the pixel points; extracting detail feature points of the image on the basis of the direction filtering; implementing the matching recognition between the feature points within the polar angle range and the polar radius range through the flexible matching thought, wherein the polar angle range is selected to be 1 to 4 degrees and the polar radius range is selected to be 1 to 4 pixel points. The improved directional filter and flexible matching based recognition method is applied to the mode recognition technical field.

Description

Technical field: [0001] The invention relates to a recognition method based on improved direction filtering and flexible matching. Background technique: [0002] Since the grayscale difference between blood vessels and the background in the finger vein image collected under near-infrared light is very small, there is a problem of low contrast, which affects the subsequent matching and recognition of the finger vein image. [0003] Biometric identification technology uses the inherent characteristics of the human body for personal identity authentication, which has the properties of universality, stability, uniqueness, convenience, and accuracy. Among many biometric identification technologies, fingerprint identification technology is the earliest application and the most mature biometric identification technology. However, the accuracy of fingerprint recognition is easily affected by the surface condition of the finger, and there are disadvantages that it is easy to be stol...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 马慧
Owner 华正清圆(天津)科技有限公司
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