Face Match vs. Face Search: 1:1 and 1:N Verification
Blog post from Didit
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Didit offers a modular identity platform that includes Face Match and Face Search, two AI-driven biometric verification tools designed to enhance security and prevent fraud. Face Match, or 1:1 verification, compares a live selfie with a reference image to confirm identity, which is particularly useful for secure access, account recovery, and high-value transactions. Face Search, or 1:N verification, scans a database to detect duplicate accounts and prevent fraud by comparing a submitted face against many stored faces. Both methods employ sophisticated AI algorithms and liveness detection, with Didit providing both passive and active liveness detection techniques to counter spoofing attempts. Didit's platform allows for seamless integration into existing systems through RESTful APIs and offers intelligent capture, advanced data processing, and customizable thresholds to fit specific risk tolerances. Additionally, Didit emphasizes a developer-first design with a focus on automation, offering free core KYC and no setup fees, making it accessible for businesses looking to implement comprehensive identity verification systems.
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