Multi-mode identity authentication method and device based on biological characteristics of fingers

An identity authentication device and biometric technology, applied in the field of biometric identification, can solve the problems of affecting the authentication effect, insufficient feature stability, and poor security, so as to improve the difficulty of feature theft and forgery, and improve user capacity and accuracy , Improve the effect of authentication

Inactive Publication Date: 2012-07-04
北京鑫光智信软件技术有限公司
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AI Technical Summary

Problems solved by technology

[0002] At present, personal identity authentication technologies based on human biometrics have become popular, such as fingerprint recognition, face recognition, and iris authentication, but they all have the disadvantages of insufficient feature stability, easy information theft and forgery, and poor security; such as fingerprint recognition technology, there are about 4% of users who cannot be registered and identified normally, and fingerprints are also very easy to be stolen and counterfeited; vein authentication technology uses the texture information of veins and blood vessels inside the human body as a personal identity feature, which is almost impossible to steal and forge, and can greatly improve The security of personal identity authentication; and it is not easily affected by external factors, and has better adaptability and stability
[0003] The basic principle of vein authentication is that oxygenated blood has a stronger absorption effect on the near-infrared spectrum with a wavelength of 700-1000nm than muscle tissue, and the blood vessels of the finger can be collected by using the active near-infrared light source to irradiate the finger and collecting finger images through the camera device. Vein vein texture image, different light source design and optical path design will affect the quality of the collected vein vein texture image, t...

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  • Multi-mode identity authentication method and device based on biological characteristics of fingers
  • Multi-mode identity authentication method and device based on biological characteristics of fingers
  • Multi-mode identity authentication method and device based on biological characteristics of fingers

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Embodiment Construction

[0077] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and preferred embodiments.

[0078] figure 1 It is a system block diagram of the parallel working mode of the present invention, the finger vein collection module 100, the knuckle print collection module 200 and the fingerprint collection module 300 are respectively connected with an independent embedded SOC authentication module 500, wherein the embedded SOC authentication module connected with the finger vein collection module 100 The SOC certification module 500 is the main module, which provides external input and output interfaces 800, and the finger sensor switch 400 is only connected with the main module, and the remaining embedded SOC certification modules 500 are slave modules, which are controlled by the main module through UART or other interfaces; work in pa...

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Abstract

The invention relates to a multi-mode identity authentication device based on the biological characteristics of fingers, which comprises a finger vein image collection module, a finger knuckle stripe image collection module, a fingerprint image collection module, a finger induction switch, an embedded type start of conversion pulse (SOC) authentication module, a control box, an input/output interface and a power supply module; the modules, the finger induction switch and the input/output interface are all installed on the control box, the finger vein image collection module, the finger knuckle stripe image collection module and the fingerprint image collection module are connected with an image input interface of the embedded type SOC authentication module so as to realize the collection of the biological characteristics of veins, finger knuckle stripes and fingerprints, and the finger induction switch is connected with a GPIO (General Purpose Input/Output) interface of the embedded type SOC authentication module so as to realize the detection of the placement of the fingers; and the power supply module is connected with each module so as to provide a power supply required for working. The invention relates to a multi-mode identity authentication method based on the biological characteristics of the fingers, which comprises characteristic registration and characteristic comparison comprising nine steps respectively. According to the multi-mode identity authentication device and the method based on the biological characteristics of the fingers, the safety of identity identification is effectively enhanced. The multi-mode identity authentication device and the method based on the biological characteristics of the fingers have extensive application prospect.

Description

technical field [0001] The invention relates to a multi-modal identity authentication method and device based on finger biological features, belonging to the technical field of biological feature identification. Background technique [0002] At present, personal identity authentication technologies based on human biometrics have become popular, such as fingerprint recognition, face recognition, and iris authentication, but they all have the disadvantages of insufficient feature stability, easy information theft and forgery, and poor security; such as fingerprint recognition technology, there are about 4% of users who cannot be registered and identified normally, and fingerprints are also very easy to be stolen and counterfeited; vein authentication technology uses the texture information of veins and blood vessels inside the human body as a personal identity feature, which is almost impossible to steal and forge, and can greatly improve The security of personal identity auth...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/20
Inventor 梁爱华
Owner 北京鑫光智信软件技术有限公司
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