Biometrics uses minutae or correlation base

Approximately 80% of biometric vendors utilize minutiae in some fashion. Those who do not utilize minutia use pattern matching, which extrapolates data from a particular series of ridges. This series of ridges used in enrolment is the basis of comparison, and verification requires that a segment of the same area be found and compared. The use of multiple ridges reduces dependence on minutiae points, which tend to be affected by wear and tear. The templates created in pattern matching are generally, but not always, 2-3 times larger than in minutia - usually 900-1200 bytes.

Fingerprint matching techniques can be placed into two categories: minutae-based and correlation based. Minutiae-based techniques first find minutiae points and then map their relative placement on the finger. However, there are some difficulties when using this approach. It is difficult to extract the minutiae points accurately when the fingerprint is of low quality. Also this method does not take into account the global pattern of ridges and furrows. The correlation-based method is able to overcome some of the difficulties of the minutiae-based approach. However, it has some of its own shortcomings. Correlation-based techniques require the precise location of a registration point and are affected by image translation and rotation.

Related posts:

1. Automatically and reliably extract minutiae from the input in biometrics
2. biometrics resource
3. Biometrics should only be stored on smart-cards
4. Biometrics do not provide perfect identification
5. Log capturing - event correlation, forensics, or audit / compliance widget?
6. Base station

Related posts brought to you by Yet Another Related Posts Plugin.