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Robust infrared face recognition technology

An infrared human and face recognition technology, applied in the field of robust infrared face recognition, achieves the effects of stabilizing blood flow biometrics, improving recognition rate, high theoretical research significance and practical application value

Inactive Publication Date: 2012-07-18
JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS
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  • Summary
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  • Description
  • Claims
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Problems solved by technology

However, this model is based on several ideal assumptions, and it is believed that there is no correlation between the temperature points of the human face, which does not conform to the heat transfer principle of biological tissues

Method used

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  • Robust infrared face recognition technology
  • Robust infrared face recognition technology
  • Robust infrared face recognition technology

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] 1. Collect images, perform face detection, geometric normalization, and face direction detection on the images.

[0049] Firstly, the database is collected, and what is used is the ThermoVisionA40 infrared camera produced by FLIR. The camera uses an uncooled microbolometer sensor with a pixel resolution of 320 x 240 and a spectral response band of 7.5 to 13 microns. In order to accurately measure the surface temperature of the measured object, the device has a temperature self-calibration function to eliminate temperature drift. Its temperature sensitivity is as high as 0.08°C. The original infrared face image such as figure 1 shown.

[0050] Assuming that the skin temperature of the human face is higher than the temperature of the environment, the human face can be easily detected from the infrared image. Assuming that f(x, y) is the original face image, and a small area Γ∈f(x, y) is selected from the background of the original image, the average gray value of the...

Embodiment 3

[0112] Example 4:

Embodiment 4

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Abstract

The invention relates to a robust infrared face recognition technology. The technology comprises the following main links: first, detecting a face in an image, estimating the direction of the face, and geometrically normalizing the face; then, calculating the weight along with temperature changes of each point in the face image, and converting images at the different temperatures into an image at the reference temperature by using a linear normalization method; and finally, solving the temperature normalized image to acquire a corresponding discrete rheography by using a Pennes biological heat transmission equation so as to acquire a more robust biological characteristic, and recognizing the face by adopting a secondary characteristic extraction method. Experiments prove that the technology can greatly improve the recognition rate of delay data, can be used in a real-time infrared face recognition system, and has high theoretical studying significance and practical application value.

Description

technical field [0001] The invention relates to a robust infrared face recognition method, in particular to a temperature normalization method and a blood flow diagram-based recognition method. Background technique [0002] The idea of ​​using infrared for face recognition was first proposed in 1992 by Dr. Prokoski of Mikos Corporation in the United States. In addition to the above-mentioned characteristics of infrared face images, Dr. Prokoski further pointed out that the human face thermogram is determined by the infrared thermal radiation of the tissue and structure of the face, such as the size and distribution of blood vessels, and the distribution of blood vessels of each person is Unique, non-replicable, and this characteristic does not change with age, so they are related to human physiological structure like fingerprints and are unique. [0003] In recent years, a few countries such as the United States, Japan, Israel, Singapore and my country have successively ca...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 伍世虔谢志华卢宇方志军
Owner JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS
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