The palm recognition process is executed in two phases to maximize accessibility and precision. Phase 1 employs palm print recognition, which uses personal smartphone cameras to capture images of the palm’s external features, such as skin patterns, lines, and creases. These attributes are analyzed using Convolutional Neural Networks (CNN) to extract key features and differentiate individuals. This phase enables quick and convenient user verification while ensuring a high level of accuracy in identifying unique individuals. However, since external palm prints may change over time due to aging or environmental factors, Phase 2 introduces a more advanced biometric approach.
Phase 2 enhances identity verification by incorporating palm vein recognition, which requires a specialized infrared-enabled device connected to a smartphone. This method captures the internal vascular structure of the palm, which remains stable throughout an individual’s lifetime and is nearly impossible to replicate or forge. Studies, such as those conducted by Fujitsu, have demonstrated that palm vein recognition offers an exceptional false acceptance rate of less than 0.00008% and a false rejection rate of only 0.01%. By analyzing both palm prints and palm veins, the Humanity Protocol ensures an unparalleled level of biometric accuracy, creating a unique digital identity signature for every verified user.
Tokenomics Allocation
Community 12% supports user onboarding, airdrops, and reward programs. Ecosystem 24% incentivizes partners, developers, and new projects. Security 18% ensures node operator engagement in verification. Treasury 12% for liquidity, operations, and strategic goals. 10 billion $H tokens have been minted. Tokenomics include allocations to the team, investors, the Human Institute, and the community. The incentive design enhances participation without devaluing tokens.