Iris Recognition

Iris recognition uses the unique patterns in the colored ring surrounding the pupil to verify identity.

Iris recognition captures high-resolution images of the eye, isolating the iris region and encoding its intricate texture patterns. Since the iris texture is highly unique and stable over time, this modality offers one of the highest levels of accuracy with low false match rates. It is widely used in border control, national ID programs, and secure access credentials.

References

Vendors using Iris Recognition

Latest Data Cards

  • Data Card

    FBI Seeks Next-Gen Biometric Algorithms for NGI Upgrade

    2025-11-24CC-BY-4.0fingerprint-recognitionfacial-recognitioniris-recognitionmultimodal-biometrics

    An FBI RFI calls for vendors to provide next-generation fingerprint, face, iris, and tattoo algorithms to modernize the Next Generation Identification (NGI) system.

    • Request spans tenprint, latent, face, iris, and tattoo matching for large-scale identification workloads.
    • Vendors are expected to participate in NIST testing and supply performance data.
    • Signals continued NGI modernization and potential procurement roadmap.
  • Data Card

    Pakistan Launches All-in-One Digital ID Kit With Multimodal Biometrics

    2025-03-04CC-BY-4.0digital-idmobile-idfingerprint-recognitioniris-recognitionfacial-recognition

    Pakistan has introduced a portable digital ID kit that combines fingerprint, face, and iris capture with backend verification, enabling field enrollment and authentication for its national identity system.

    • Kit integrates multimodal biometric capture with secure connectivity to Pakistan’s national ID backend.
    • Designed for mobile use in field enrollment and verification scenarios, including remote communities.
    • Supports a broader push to expand inclusion and tighten the assurance level of national ID credentials.

Frequently Asked Questions

What makes iris recognition unique compared to other biometrics?
The iris has highly distinctive and stable texture patterns, offering very low false match rates and resistance to aging.
How accurate is iris recognition?
Iris recognition typically achieves false match rates well below 0.1%, making it one of the most accurate biometric modalities.
What are common applications of iris recognition?
Iris recognition is used in border control, national identity programs, secure building access, and even smartphone authentication in some devices.