Opisthenar-vein identity recognition method based on combination of local macroscopic and microscopic characteristics

A macroscopic and microscopic technology, applied in character and pattern recognition, computer components, instruments, etc., can solve the problems of ignoring the texture structure, etc., and achieve the effect of reducing the amount of calculation and strong descriptiveness of the neighborhood relationship

Active Publication Date: 2014-03-26
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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  • Opisthenar-vein identity recognition method based on combination of local macroscopic and microscopic characteristics
  • Opisthenar-vein identity recognition method based on combination of local macroscopic and microscopic characteristics
  • Opisthenar-vein identity recognition method based on combination of local macroscopic and microscopic characteristics

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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 provides an opisthenar-vein identity recognition method based on combination of local macroscopic and microscopic characteristics, belonging to the field of intelligent monitoring technology in computer vision. The method comprises the steps of 1) preprocessing an image; 2) extracting macroscopic characteristics of the image; 3) extracting microscopic characteristics of the image; 4) implementing weighted fusion; and 5) carrying out recognition via a classifier. According to the method in the invention, binary encoding is implemented on macroscopic and microscopic information in the surrounding of each pixel of the image, image information is fully extracted, image noises are provided with stronger robustness, and the result obtained by combining the local macroscopic and microscopic characteristics is better than the recognition result by only using either the local macroscopic characteristics or the local microscopic characteristics. The dimension of the characteristic vector is low, operand is reduced, and the identity can be well recognized and verified via the opisthenar vein.

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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IPC IPC(8): G06K9/00G06K9/60G06K9/62
Inventor 王一丁张科
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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