Finger vein identification method based on relative distance

A finger vein and recognition method technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of no good positioning method, difficult to extract features, and increase of training samples, so as to improve the recognition effect. Recognition speed and accuracy, robust effects

Inactive Publication Date: 2010-10-06
HARBIN ENG UNIV
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AI Technical Summary

Problems solved by technology

However, due to the division of blocks, the number of training samples increases, resulting in slower recognition speed
Due to the characteristics of the f

Method used

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  • Finger vein identification method based on relative distance
  • Finger vein identification method based on relative distance
  • Finger vein identification method based on relative distance

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Embodiment Construction

[0026] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0027] 1. Read in the finger vein image, segment the image according to the directional filter design method proposed in reference [5], and use the 8-neighborhood method [6] Perform the thinning operation to obtain the thinned image of the finger vein, as shown in Figure 2.

[0028] 2. Extract the endpoints and intersections of the thinned finger vein image, such as image 3 .

[0029] 3. Define the feature point structure type as α i =(x i ,y i , atype), where x i and y i Indicates the position coordinates of the feature point, and atype is the type of feature point (end point or intersection point). Define feature point set A=(a 1 , a 2 ,...,a m ), feature point set B=(b 1 , b 2 ,...,b n ), a(1,...,m) and b(1,...,n) are the feature points in the two thinned finger vein images respectively.

[0030] 4. Calculate the distance between feature points. ...

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Abstract

The invention provides a finger vein identification method based on relative distance. The method comprises the steps of: carrying out partitioning and refining operations on a read-in finger vein image, extracting end points and intersections of the refined finger vein image to be used as a characteristic point set, defining the structural types of characteristic points, and finally carrying out matching of the finger vein image by calculating distances among the characteristic points for identity recognition. The invention is simple and easy to operate without positioning, reduces work load, improves recognition speed and accuracy, effectively overcomes influences of translation, rotation and the like on a recognition result, ensures that the system is improved in the aspect of recognition effect and has practical application value and development potential.

Description

technical field [0001] The invention relates to a method for feature extraction and recognition of finger veins, belonging to the technical field of biometric identification. Background technique [0002] Biometric identification technology is a technology that relies on human biological characteristics for identity authentication. It has the advantages of not being forgotten, lost, forged and counterfeited. It is replacing traditional methods and gradually becoming the preferred convenient and reliable identification method in daily life. Among them, finger vein recognition technology, as an emerging human body feature recognition technology, has attracted much attention in recent years because of its advantages of non-contact, anti-interference and anti-counterfeiting, and has great development potential. Generally, near-infrared light is used to irradiate the skin for non-contact collection. When the wavelength range of near-infrared light is 0.72 μm to 1.10 μm and the sk...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 王科俊刘靖宇冯伟兴李雪峰马慧
Owner HARBIN ENG UNIV
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