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Hand vein identification method based on the combination of local macroscopic features and microscopic features

An identity recognition and macro technology, applied in character and pattern recognition, computer parts, instruments, etc., can solve the problem of ignoring texture structure, and achieve the effect of reducing the amount of calculation and the descriptiveness of the proximity relationship.

Active Publication Date: 2017-12-05
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

However, for the image of the dorsal vein image, which has both texture features and structural features, the LBP operator overemphasizes the texture features while ignoring its larger texture structure

Method used

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  • Hand vein identification method based on the combination of local macroscopic features and microscopic features
  • Hand vein identification method based on the combination of local macroscopic features and microscopic features
  • Hand vein identification method based on the combination of local macroscopic features and microscopic features

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Embodiment Construction

[0018] The present invention will be described in further detail below in conjunction with the accompanying drawings. The present invention proposes a vein recognition method on the back of the hand, such as figure 1 shown, including the following steps:

[0019] Step 1: Image preprocessing

[0020] The near-infrared image acquisition device is used to collect the vein image of the back of the hand, and a stable rectangular area is extracted in the center of the back of the hand through the constraints of the hand contour, which is used as an effective area for subsequent feature extraction. Do a 5×5 mean filter on this area to reduce image noise.

[0021] Step 2: Extract macro features

[0022] Divide the filtered back of the hand area into N sub-blocks evenly, such as Figure 4 As shown, the features are extracted from each sub-block, and finally the N feature vectors are stitched together to form the features of the entire image. First extract the macroscopic features ...

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Abstract

The invention proposes a hand vein identification method based on the combination of local macroscopic features and microscopic features, which belongs to the field of intelligent monitoring technology in computer vision, including step 1: image preprocessing; step 2: extracting image macroscopic features; step 3: extracting image microscopic features ; Step 4: weighted fusion; Step 5: identify by classifier. The method proposed in the present invention performs binary coding on the macroscopic information and microscopic information around each pixel of the image, fully extracts the image information, has stronger robustness to image noise, and the result obtained by fusing features is better than only A recognition result using local macroscopic features and a recognition result using local microscopic features. Moreover, the dimension of the feature vector is low, which reduces the amount of calculation, and in terms of performance, it can use the veins on the back of the hand to complete identity verification.

Description

technical field [0001] The invention relates to a dorsal hand vein identification method based on the combination of local macroscopic features and microscopic features, belongs to the technical field of intelligent monitoring in computer vision, and particularly relates to the technical field of biological feature recognition. Background technique [0002] The use of vein information on the back of the hand for identification is a new biometric method developed in the past ten years. Compared with traditional identification methods such as passwords, card numbers, user names, keys, and certificates, biometric identification methods based on fingerprints, faces, irises, handwriting, voiceprints, gait, and veins are not easy to lose, difficult to copy, and portable. Portable and many other advantages, get more and more in-depth research and popularization and application. Compared with other biometric identification methods, vein recognition on the back of the hand has disti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/60G06K9/62
Inventor 王一丁张科
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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