{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/biometric-recognition",
  "headline": "AI Biometric Recognition: Fingerprint, Iris, Face, and Multimodal Deep Learning Systems",
  "description": "AI has transformed biometric recognition from specialized hardware systems to software running on smartphones. Face recognition (Face ID), fingerprint sensors, and iris scanners use deep learning to achieve forensic-grade identity verification. Multimodal systems combining multiple biometrics now reach near-perfect accuracy.",
  "dateCreated": "2026-05-24T02:49:13.586Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Biometrics recognition using deep learning: a survey (150+ papers)",
      "sameAs": "https://dl.acm.org/doi/10.1007/s10462-022-10237-x"
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    {
      "@type": "CreativeWork",
      "name": "A multi-modal biometric recognition system based on fingerprints, iris, and facial recognition",
      "sameAs": "https://www.sciencedirect.com/science/article/pii/S2772941925001887"
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}