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Visible light vein imaging method based on Monte Carlo

A vein imaging and visible light technology, applied in the field of information perception and recognition, can solve problems such as poor robustness

Active Publication Date: 2020-02-21
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of poor robustness in the prior art, the present invention discloses a Monte Carlo-based visible light vein imaging method, using the MC method to simulate the color value of the skin image, and then using the color value as input, the skin parameters The value is the output, train the neural network

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  • Visible light vein imaging method based on Monte Carlo
  • Visible light vein imaging method based on Monte Carlo
  • Visible light vein imaging method based on Monte Carlo

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Embodiment Construction

[0122] In order to make the purpose, technical solutions and effects of the present invention clearer and clearer, the following examples are given to further describe the present invention in detail; it should be pointed out that the specific implementation described here is only used to explain the present invention, and is not intended to limit the present invention.

[0123] Step 1. Skin optical model analysis:

[0124] Skin is a very complex structure. In the recorded literature, the research on skin is mostly three or five layers. The research of the present invention will establish a seven-layer skin model, such as figure 1 shown. The seven-layer skin model includes: epidermis (stratum corneum, germinal layer), dermis (papillary dermis, upper vascular network dermis, reticular dermis, deep vascular network dermis), subcutaneous fat layer.

[0125] When using the MC method for skin tissue simulation, five optical characteristic parameter values ​​need to be input: absor...

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Abstract

The invention discloses a visible light vein imaging method based on Monte Carlo, which belongs to the technical field of information perception and identification, and comprises the following steps:1) establishing a skin model, and carrying out optical model analysis on the skin; 2) carrying out skin imaging simulation on the basis of a Monte Carlo method; 3) carrying out skin tissue imaging, and finally realizing vein imaging. According to the method, a Monte Carlo method is used for simulating the color value of the skin image, and then the color value is used as the input and the skin parameter value is used as the output to train the neural network. For a given skin image, vein imaging can be realized from the obtained skin parameter value distribution map, the problems in the priorart are solved, vein imaging is performed for a visible light image of digital imaging, and an important foundation is laid for subsequent identification.

Description

technical field [0001] The invention belongs to the technical field of information perception and recognition, in particular to a Monte Carlo-based visible light vein imaging method. Background technique [0002] In recent years, identification has been closely related to personal interests, social stability and national security. There are three categories of identification technology based on specific items, specific knowledge and biometrics. The first two categories, such as ID cards, IC cards, keys, passwords, bar codes, etc., often have hidden dangers such as duplication, forgetting, loss, and embezzlement, which will cause huge losses to individuals, society, and even the country. Compared with the first two types of identification technologies, the third type extracts people's biometric information, actively authenticates personal identities, and was used in judicial identification in the early years. Fingerprint and face recognition technologies are becoming more a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08A61B5/00
CPCG06N3/08A61B5/0059A61B5/489G06V40/10G06V40/15G06N3/044
Inventor 唐超颖韩立元王彪贾茹
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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