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Iris Biometric Model for Secured Network Access
book

Iris Biometric Model for Secured Network Access

by Franjieh El Khoury
April 2016
Intermediate to advanced content levelIntermediate to advanced
220 pages
5h 23m
English
CRC Press
Content preview from Iris Biometric Model for Secured Network Access
36
IrIs BIometrIC modeL
2.7.3 Classification Method
e classification consists in grouping similar elements of E (E ).
Each group represents a nonempty and homogeneous subset. All
these groups cover the set E.
We can mention two main classification methods (Saporta 1990):
1. e hierarchical classification leading to merge in the same
group two elements of E that have a given level of accuracy,
while at a higher level of accuracy, they will be distinguished
and belong to two different subgroups
2. e nonhierarchical or partitioning classification, leading to
decomposition of the set E of all elements into m disjoint sets
or equivalence classes whose number of classes m is fixed
A hierarchy Η is called indexed if there is a function ind: Η
+
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Publisher Resources

ISBN: 9781466502147