Palm recognition technology integrates both palm print and palm vein biometric identification. Through deep learning of trillions of images using advanced AI algorithms, it extracts microscopic structural features of the palm and fuses palm vein and palm print data to generate a unique super native code, enabling precise and secure identity authentication.
As a third-generation biometric solution, palm recognition technology offers a safer and more convenient option for identity verification. With exceptionally high reliability and accuracy, it enables ultra-fast recognition in just 0.3 seconds, supporting the demands of tens of millions of users. Palm recognition can fully replace traditional methods such as QR codes, ID cards, cash, and swipe cards, enabling seamless identity verification and access management across various scenarios while significantly reducing waiting times. At the same time, it provides users with a contactless and user-friendly experience, minimizing the risk of bacteria and virus transmission caused by physical contact. This effectively enhances public health safety and service quality. The technology is widely applied in payment, access control, attendance tracking, and identity verification across diverse sectors.
Near-infrared light is used to illuminate the palm. Due to hemoglobin’s ability to absorb infrared light, the vascular structure becomes visible. A clear palm vein image is captured and analyzed by algorithms to extract the vein distribution patterns, enabling reliable liveness detection.
A high-resolution camera captures the surface palm print image. Algorithms then analyze the ridge patterns and distribution characteristics of the palm print. When combined with palm vein data, this dual-verification approach greatly enhances security and accuracy.
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