I was thinking if we had an algorithm to determine the amount of similitude between the lines of the left and right hands with great precision we would have a quite good way of serializing everyone with an ID number that could be updated every new year. The algorithm could start analysing the fingerprints of both hands. This would have a great weight in the formula to determine the overall amount of similitude. Then other lines would enter the formula, each providing a given weight in the overall sum of weighted amounts.
As an example, imagine our global population had just 5 individuals: A, B, C, D and E.
And our algorithm/formula would calculate the amounts of similitude between the lines of left and right hands to be:
A - 67.986787 % similitude between left and right hand (Year 2014)
B- 57.779767 % similitude between left and right hand (Year 2014)
C - 56.878665 % similitude between left and right hand (Year 2014)
D - 78.657647 % similitude between left and right hand (Year 2014)
E - 88.657657 % similitude between left and right hand (Year 2014)
Then the IDs of our five individuals would be:
C - ID No. 1 (Year 2014)
B - ID No. 2 (Year 2014)
A - ID No. 3 (Year 2014)
D - ID No. 4 (Year 2014)
E - ID No. 5 (Year 2014)
Maybe this method of serialization of individuals IDs would be interesting in many contexts, as it seems a quite universal and unambiguous way of ordering individuals in a global way. But namely in the context of
SocialCoin (
http://llsourcell.svbtle.com/socialcoin-a-cryptocurrency-for-a-global-basic-income).
