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Feature Extraction

Biometric feature extraction is the process by which key features of the sample are selected or enhanced. Typically, the process of feature extraction relies on a set of algorithms; the method varies depending on the type of biometric identification used.

Here are some examples of biometric feature extraction:

• A fingerprint feature extraction program will locate, measure and encode ridge edgings and bifurcations in the print.
• A voice recording may filter out particular frequencies and patterns.
• A digital picture may pull out particular measurements, like the relative positions of the ears, forehead, cheekbones and nose.
• Iris prints will encode the mapping of furrows and striations in the iris.

Index of related articles:

Automated Biometric Identification System (ABIS)
Automated Fingerprint Identification System (AFIS)
Behavioral Biometric Characteristic
Biological Biometric Characteristic
Biometrics
Biometric Data
Biometrics Algorithm
Biometric Match
Biometric Match Threshold
Biometric Sample
Biometric System
Capture
Common Biometric Exchange File Format (CBEFF)
Challenge Response
Closed-set Identification
Covert Sampling
Feature Extraction
Live Biometric Capture
Liveness Detection
Non-cooperative User
One-to-many
One-to-One
Open-set Identification
Overt Collection
Speaker Recognition
Spoofing
Template
Threshold
True Accept Rate
True Reject Rate
Uncooperative User
Verification

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