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The Henry Classification System for fingerprint grouping.

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Fingerprint-classification

The Henry Classification System for fingerprint grouping.

Each of the fingers is assigned an index as follows:

  • Left Pinky = 10
  • Left Ring = 9
  • Left Middle = 8
  • Left Index = 7
  • Left Thumb = 6
  • Right Pinky = 5
  • Right Ring = 4
  • Right Middle = 3
  • Right Index = 2
  • Right Thumb = 1

Fingers can have three types of patterns - Arches, Loops and Whorls. If a finger contains a Whorl pattern it is given a score based on its index:

  • 10 and 9 have a score of 1.
  • 8 and 7 have a score of 2.
  • 6 and 5 have a score of 4.
  • 4 and 3 have a score of 8.
  • 2 and 1 have a score of 16.

The grouping ratio for the fingerprints is: N / D
where the numerator N = 1 + Score for even indices,
and the denominator D = 1 + Score for odd indices.

There are up to 1024 primary groupings available through this method.

####Usage: f = Fingerprint()
A = ['W', 'L', 'A', 'L', 'W', 'W', 'A', 'L', 'A', 'W']
f.Henry(A)
[6, 21]

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