Fingerprint Recognition

Fingerprint recognition identifies individuals by analyzing unique patterns of ridges and valleys on the fingertip.

Fingerprint recognition is one of the oldest and most widely used biometric modalities. It captures and compares the distinctive ridge patterns of a person's fingertip using optical or capacitive sensors. Modern algorithms extract minutiae points and match them against stored templates, achieving high accuracy and fast performance in applications ranging from smartphone unlocking to large-scale national ID systems.

References

Vendors using Fingerprint Recognition

Latest Data Cards

  • Data Card

    Innovatrics claims top rank-1 accuracy in latest NIST ELFT latent fingerprint benchmark

    2026-02-13CC-BY-4.0fingerprint-recognitioninnovatrics

    Innovatrics reported top rank-1 accuracy in the latest results from NIST's Evaluation of Latent Fingerprint Technologies (ELFT), achieving a 98.6% rank-1 hit rate on FBI Dataset #1 comprising 285 operational crime-related fingerprint probes.

    • NIST ELFT measures how accurately systems identify suspects from crime scene fingerprints against large operational databases.
    • Rank-1 hit rate indicates how often the correct subject appears first in candidate lists, reducing manual review time for forensic examiners.
    • Innovatrics also demonstrated strong performance on the DoD Dataset #1, the benchmark's largest dataset with 5,259 operational probes.
  • Data Card

    Accu-Time Agrees to Proposed $1.5M Settlement in Illinois BIPA Fingerprint Time Clock Case

    2026-01-06CC-BY-4.0fingerprint-recognition

    Accu-Time Systems agreed to a proposed $1.5 million settlement in an Illinois Biometric Information Privacy Act (BIPA) class action related to fingerprint time clock use.

    • Settlement materials describe a $1.5 million fund with estimated individual payments ranging from about $100 to $500 depending on approved claims.
    • The claims deadline is March 12, 2026 and a final approval hearing is scheduled for April 1, 2026, according to the settlement site.
    • The case highlights compliance risk for workplace fingerprint time and attendance systems under Illinois biometric privacy law.
  • Data Card

    Peel Regional Police Issues RFP for Cloud-Based AFIS Integrated with RCMP RTID

    2025-12-22CC-BY-4.0fingerprint-recognitionabis-dedup

    Peel Regional Police issued an RFP for a cloud-based automated fingerprint identification system (AFIS) integrated with the RCMP’s real-time identification capability.

    • The tender describes a 60-month procurement for supply, implementation, and support of an AFIS-RTID solution.
    • The listing describes a questions deadline of January 20, 2026 and a bid closing date of January 28, 2026.
    • The listing identifies several plan takers, including Canadian entities associated with large identity and biometrics vendors.

Frequently Asked Questions

How does fingerprint recognition work?
Fingerprint recognition captures the unique ridge and valley patterns on a fingertip using sensors, then extracts key minutiae points to match against stored templates.
Can fingerprint recognition work with wet or damaged fingers?
Most modern sensors use capacitive or multispectral imaging to handle moisture and minor skin abrasions, but extreme conditions may reduce accuracy.
What are common uses of fingerprint recognition?
Fingerprint recognition is used for smartphone unlocking, access control, time and attendance tracking, and large-scale identity verification systems.