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Parameter-free hand back vein maximum circular region extraction method

A circular area and the back of the hand technology, applied in the direction of instruments, subcutaneous biometrics, calculations, etc., can solve the problems of high time complexity and inability to guarantee, and achieve the effect of low time complexity

Active Publication Date: 2019-07-19
JILIN UNIV
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AI Technical Summary

Problems solved by technology

[0007] The first three algorithms are affected by parameter selection. For different images, fixed parameters cannot guarantee that the extracted circle is the largest circle in the entire back of the hand area.
The fourth algorithm needs to traverse the entire hand back contour and all Voronoi diagram vertices, and the time complexity is high

Method used

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  • Parameter-free hand back vein maximum circular region extraction method
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  • Parameter-free hand back vein maximum circular region extraction method

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Embodiment Construction

[0028] The steps of the present invention are:

[0029] ①Use the conditional random field image segmentation algorithm to binarize the vein image on the back of the hand to obtain the binary image BW of the back of the hand. Find the contour line with a value of 0.5 in the binary image, and the contour line is the contour of the back of the hand area Figure, from the first contour point on the left at the bottom of the image, traverse the entire contour map in a clockwise order, and store the XY coordinates of all contour points in the variable X according to the traversal order, and obtain an ordered contour point coordinate sequence X 2×N , N is the number of contour points on the back of the hand, and the coordinates of the contour points are (X(1, i), X(2, i)), i=1, 2,..., N;

[0030] ② Use the MATLAB functions delaunay and triangulation to calculate the coordinate sequence X 2×N Delaunay triangulation, get triangulation TR M×6 , M is the number of triangles in the trian...

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Abstract

The invention discloses a parameter-free hand back vein maximum circular region extraction method, and belongs to the technical field of biological feature recognition. The invention aims to provide aparameter-free hand back vein maximum circular region extraction method for performing direction correction on a hand back maximum circular region so as to extract and correct the maximum circular region of the hand back region. The method comprises the following steps: (1) carrying out binarization processing on a dorsal vein image by using a conditional random field image segmentation algorithm; (2) calculating Delaunay triangulation of the coordinate sequence by using an MATLAB function delaunay and triangulation; (3) finding out a maximum radius and a corresponding circle center coordinate to obtain a maximum circular area image Cmax of the hand back; (4) selecting a contour point near the little finger, and calculating the distance between the contour point and the circle center, namely the vertex of the little finger; and (5) calculating an included angle between the OA direction and the horizontal direction. The method has the advantages that the maximum circle extraction method does not need to carry out parameters and is low in time complexity; the invention provides a method for correcting the direction of a circular area.

Description

technical field [0001] The invention belongs to the technical field of biological feature identification. Background technique [0002] In the information age, there are more and more occasions that require identity authentication, and traditional authentication methods relying on passwords, keys, magnetic cards, etc. can no longer meet people's needs. Biometric identification technology is gradually replacing traditional authentication methods and has become an important branch in the field of identity authentication. Among them, hand vein recognition has become an important part of biometric recognition technology because of its own advantages such as high anti-counterfeiting and internal features. In order to reduce the amount of data processing in the recognition process and improve the recognition accuracy, it is necessary to extract the region of interest during the recognition process. The conventional method is to extract a rectangular area, while the circular area...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/38G06K9/34
CPCG06V40/10G06V40/14G06V10/267G06V10/28
Inventor 刘富姜守坤侯涛康冰李丁园刘云王柯苗岩
Owner JILIN UNIV
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