Physiological Biometric
Definition
Trait rooted in body structure: fingerprint, iris, retina, face, palm print, palm vein, hand geometry, ear shape, DNA.
- Basis
- Body structure
- Examples
- Fingerprint, iris, retina, face, palm, DNA
- Contrast
- Distinct from behavioural biometrics like gait or signature
- Field
- Biometric identification systems
Common questions
Why does the physiological versus behavioural distinction matter for a biometric system's design?+
Physiological traits like fingerprint or iris structure are generally stable over a person's life and require dedicated capture hardware, while behavioural traits like gait or typing rhythm can vary with mood, fatigue, or injury and are often captured passively, so systems built around each type differ in enrolment method and how often re-enrolment is needed.
Are physiological biometrics harder to spoof than behavioural ones?+
Not inherently, spoof resistance depends on the specific trait and the sensor's liveness detection, not simply on whether the trait is physiological or behavioural. A poorly secured fingerprint sensor can be spoofed with a lifted print just as a weak behavioural system can be fooled by mimicry.
Related terms
- Behavioural Biometric
- Trait rooted in learned action: voice, gait, signature dynamics, keystroke dynamics, mouse movement.
- Biometric
- Any measurable physiological or behavioural trait used to identify or verify an individual. Falls in the 'something you are' authentication category, distinct...
- Enrolment
- First-time capture of a biometric, feature extraction, and storage of the resulting template in the system database.
- FAR / FRR / EER
- False Acceptance Rate (imposter wrongly accepted), False Rejection Rate (genuine user wrongly rejected), and Equal Error Rate (operating point where FAR =...
- Identification (1:N)
- Searching a fresh sample against EVERY template in the database to find a match. Used by AFIS to hit a chance print...
- Presentation Attack Detection (PAD)
- Liveness checks that block spoofing with fake fingers, photos, iris printouts or cloned voice. Evaluated under ISO/IEC 30107.
- Verification (1:1)
- Matching a fresh sample against ONE stored template tied to a claimed identity. Used to unlock a phone or authenticate a payment.