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Hand vein recognition method based on fusion of structure coding characteristics and texture coding characteristics

A technology of encoding features and texture encoding, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as difficult surgery, low height, and unforgeable veins on the back of the hand

Inactive Publication Date: 2012-11-14
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0005] 3. The veins on the back of the hand cannot be imitated, and it is difficult to change them through surgery
[0014] However, the hand vein recognition method based on structural features always has the problem of low robustness to image distortion and mis-segmentation, and the hand vein recognition method based on texture features is not robust to image resolution changes and illumination changes.

Method used

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  • Hand vein recognition method based on fusion of structure coding characteristics and texture coding characteristics
  • Hand vein recognition method based on fusion of structure coding characteristics and texture coding characteristics
  • Hand vein recognition method based on fusion of structure coding characteristics and texture coding characteristics

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Embodiment Construction

[0081] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0082] The present invention proposes a hand vein recognition method based on the fusion of structural coding features and texture coding features, such as figure 1 shown, including the following steps:

[0083] Step 1: Image acquisition and image preprocessing;

[0084] Use an image acquisition device to acquire images of veins on the back of the hand, such as figure 2 As shown, the dorsal hand region on the dorsal hand vein image is extracted using the centroid adaptive method, and the contrast-constrained local histogram equalization method and the edge-preserving Gaussian filtering method are used to complete the preprocessing of the extracted hand dorsal vein image. Preprocessed images of the back of the hand, such as image 3 shown;

[0085] Described center of mass adaptive method is specifically: calculate the center of mass O(x 0 ,y 0 ):

[0...

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Abstract

The invention provides a hand vein recognition method based on the fusion of structure coding characteristics and texture coding characteristics, belonging to the technical field of intelligent monitoring in computer vision. The method comprises the following steps of: step 1, acquiring and preprocessing an image; step 2, extracting the structure coding characteristics; step 3, extracting the hand vein texture coding characteristics; step 4, fusing the structure coding characteristics with the hand vein texture coding characteristics; and step 5, performing recognition through a sorter, thereby obtaining a result. The invention provides the hand vein recognition method based on the fusion of the structure coding characteristics and the texture coding characteristics, wherein binary codingis performed on the extracted structure characteristics and texture characteristics, which is advantageous for the retention of information in the characteristic fusion; the result obtained by fusingthe characteristics is far better than the result of recognition obtained by only employing the structure coding characteristics and the result of recognition obtained by only employing the texture coding characteristics; and the robustness for image distortion and wrong segmentation is high, therefore, the hand vein can be correctly recognized in the presence of certain image distortion and wrong segmentation.

Description

technical field [0001] The invention relates to a hand vein recognition method based on the fusion of structural coding features and texture coding features, which belongs to the technical field of intelligent monitoring in computer vision, and in particular relates to the technical field of biological feature recognition. Background technique [0002] Biometric identification is an important technology for identification based on computer systems. Compared with traditional authentication methods such as passwords and magnetic cards, it has the advantages of not being forgotten, not easy to forge or be stolen, "carrying" with you and being available anytime and anywhere. It is more secure, confidential and convenient. Wide range of applications such as. The current common biometric identification methods are face, fingerprint, hand shape, foot shape, ear shape, teeth, iris, voice, handwriting, gait, etc. Among them, face and fingerprint have been developed for many years, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/54G06K9/62
Inventor 王一丁李克峰
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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