What is the principle of vein recognition? What is the principle of vein recognition algorithm technology? Vein recognition technology is a relatively advanced biometric identification method. The vein recognition algorithm has a broad application prospect in fields such as payment, security, and access control. Common vein recognition methods include palm vein recognition and finger vein recognition. The core of the technology lies in the uniqueness of vein image features, and it is difficult to copy, safe, and convenient. It also has application examples in door locks.
Vein recognition, also called vein biometrics, is a form of biometric recognition. The use of blood flow through the superficial blood vessels formed by the superficial blood vessels as biometrics for identity matching techniques.
Compared with fingerprint-based static biological images, vein recognition is a dynamic image composed of blood flow and is a true live recognition. Generally, the blood vessel lines are obtained by irradiating the fingers, palms, and the like with near-infrared rays. This type of biometric code formed by blood flow has a very high level of safety, and disappears from the human body and is extremely difficult to be stolen.
The shapes of veins such as fingers and palms are unique and stable. Each person's vein distribution is different. Therefore, each person's vein image is not the same. The vein shape of healthy adults is very stable and it is difficult to change. These features Provides a theoretical basis for vein recognition technology.
Compared with the easy replication of fingerprint identification, vein identification is more secure and accurate, so it has broad application prospects and will be gradually promoted as technology advances.
Analysis of vein identification workflowVein recognition technology refers to the process of obtaining the vein distribution map of a vein recognition instrument, extracting the characteristics, storing it in a computer, and then identifying the process through matching, so that the personal identification can be accurately performed.
Utilizing the characteristics of red blood cells in the meridian to absorb specific near-infrared rays, near-infrared rays are irradiated to the fingers or palms, and light transmitted by the image sensor is sensed to acquire a vein distribution image inside the subcutaneous tissue for biometric recognition.
The key to vein recognition technology is that hemoglobin in red blood cells flowing through the vein absorbs near-infrared light in the wavelength range of about 700-1000 nm, resulting in a decrease in the transmission of near-infrared light in the vein portion. When the near-infrared light is transmitted, the vein is sensed in the image sensor. The image will appear and the muscles, bones, and other parts of the tissue will be weakened so that a clear image of the veins can be obtained.
Vein recognition uses vein vein texture distribution for identity identification, which is safe to humans and extremely difficult to be stolen or forged. It can be applied to banking financial security, government security, educational social security, intelligent security and other fields. The vein identification access control system will also receive Further popularization is a biometric technology that is safer and more stable than the surface feature recognition technologies such as fingerprint recognition and iris recognition.
The above is an introduction to the principle of vein recognition for smart locks published by China Network Xiaobian. For more principles of biometrics technology, please pay attention to this section of the Science Popularization!
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