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

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...

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, thus affecting the authentication effect

Although vein features are more stable than fingerprints and are less likely to be stolen and forged, they also have the following disadvantages. For example, if the temperature of the finger is too low, the quality of the vein image will be seriously affected, and different images will be collected when the finger is shaken or rotated, which will reduce the accuracy of finger vein authentication. safety

[0004] Relevant research shows that the knuckleprint authentication technology is also unique. As long as it is a normal finger, it has obvious knuckleprint characteristics. There is no problem that some users cannot register normally without fingerprint recognition. The characteristics are more obvious than fingerprints. Stable and not easy to be stolen, the main disadvantage is that there are relatively few features, and there is no large-scale practice to test its uniqueness.

[0005] From the perspective of the security and adaptability of practical applications, there is no single biometric authentication technology that can meet the needs. Multimodal identity authentication is a development direction in the future; experiments have proved that multimodal systems can effectively improve the security of identity recognition. Security, adaptability and anti-counterfeiting ability, has very broad application prospects

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