You may have even occasionally run across biometric related terms around the web. These terms are becoming more commonplace as the technology accelerates in growth and plays a larger role in our everyday lives.
2. 1. AFIS
■ AFIS refers to an Automated Fingerprint Identification
System which is a method to analyze fingerprint data by
digital imaging technology.
3. 2. ABIS
■ ABIS (Automated Biometric Identification System) is also a
large scale customizable software solution similar to AFIS,
but with the added advantages of utilizing multiple biometric
modalities including iris and facial recognition.
4. 3. Physiological Biometrics
■ Physiological biometric systems use parts of the human body
for individual identification such as fingerprints, finger vein,
facial or iris recognition.
5. 4. Behavioral Biometrics
■ Behavioral biometric systems identify individuals based on
human actions and behaviors such as keystroke dynamics,
signature analysis, and gesture biometrics.
6. 5. False Accept Rate (FAR)
■ False Acceptance Rate (FAR) is a metric used to measure the
accuracy of biometric systems to correctly or incorrectly
identify individuals and demonstrates the chance of incorrect
matches.
7. 6. False Rejection Rate (FRR)
■ When the system rejects an access mistakenly because of
failing to match the biometric input with the template is
called FRR or False Rejection Rate.
8. 7. Equal Error Rate (ERR)
■ Equal error rate or crossover error rate measures when
acceptance and rejection errors are equal to each other.
9. 8. Failure to Enroll (FTE)
■ FTE used to describe when the biometric system fails to
enroll a person’s biometric attribute due to various factors
such as technical, environmental or damage due to accidental
reasons.
10. 9. Failure to Capture (FTC)
■ FTC occurs when the system couldn’t detect a biometric
input, even though it is correct.
12. 11. Multimodal Biometrics
■ Multi-modal biometrics is a system that uses more than one
physiological or behavioral characteristic such as a fingerprint
and finger vein for enrollment, verification, and identification
of a person.
13. 12.Vascular Biometrics
■ Vascular biometrics uses near-infrared light to map vein
patterns inside the human body within the finger or palm to
capture the image of blood vessels.
14. 13. Contactless Biometrics
■ Contactless biometrics refers to biometric technology that
can identify an individual without having to make physical
contact with a hardware device such as iris and facial
recognition).
15. 14.Verification (1:1 Matching)
■ Biometric verification is an identity authentication process to
confirm a person’s identity by matching their biometric traits
such as fingerprints, palm vein, iris, and face recognition.
16. 15. Identification (1:N Matching)
■ Biometric identification is the process of identifying a person
by matching their unique biometric traits such as fingerprints,
palm vein, iris, and face recognition with all stored biometric
templates.
17. 16. BiometricTemplate
■ After a person’s unique physical or behavioral characteristics
are captured by a biometric device, it is converted into a
mathematical file using a complex algorithm and saved into
the biometric database for future
identification/authentication purposes.
18. 17. Biometric Enrollment
■ Biometric enrollment is a process of collecting an individual’s
unique physical or behavioral characteristics using biometric
hardware.
19. 18. Latent Fingerprint
■ A latent fingerprint is a type of fingerprint which cannot be
detected by the naked eye but with special technologies can
be captured, extracted, and used for individual identification.
20. 19. Biometric De-Duplication
■ Biometric de-duplication is a process of identifying duplicate
biometric templates from the database to ensure every
biometric template is unique.
21. 20. Multi-Factor Authentication
■ Multi (or two) factor authentication refers to a biometric
system where more than one biometric credential is required
to identify or authenticate a person.
22. 21. Segmented identification
■ Segmented identification method involves confirming or denying a person’s claimed
identity using a biometric scan followed by verbal confirmation to a general
identification question (e.g.,What is your date of birth?) or the entry of some known
general information (gender, race, eye color).
23. 22. Biometric SSO
■ Single sign-on (SSO) is an independent software system
which authenticates access with a single biometric attribute
within the network.
24. 23. Iris Recognition
■ Iris recognition is a method to identify someone by a single
iris or both irises (the colored, ring-shaped region surrounding
the pupil of the eye).
25. 24. PalmVein Recognition
■ Palm vein recognition is a vascular based biometric system
identification method utilizing the vein pattern of one’s hand
to create a unique template and to identify that person in the
future.
26. 25. FingerVein Recognition
■ Finger vein recognition is a vascular based biometric
identification method which scans the veins inside the finger
and generates an enrollment template based on that pattern
for individual identification.