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