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
Biometric Match Threshold
Common Biometric Exchange File Format (CBEFF)
Live Biometric Capture
True Accept Rate
True Reject Rate