Computer Science – Neural and Evolutionary Computing
Scientific paper
2011-10-28
Proc. 5th IEEE Int. Symp. on Computational Intelligence and Intelligent Informatics, pp. 143-148, 2011
Computer Science
Neural and Evolutionary Computing
6 pages, 5 figures, Proc. 5th IEEE Int. Symp. on Computational Intelligence and Intelligent Informatics (Floriana, Malta, Sept
Scientific paper
10.1109/ISCIII.2011.6069760
The main topic discussed in this paper is how to use intelligence for biometric decision defuzzification. A neural training model is proposed and tested here as a possible solution for dealing with natural fuzzification that appears between the intra- and inter-class distribution of scores computed during iris recognition tests. It is shown here that the use of proposed neural network support leads to an improvement in the artificial perception of the separation between the intra- and inter-class score distributions by moving them away from each other.
Balas Valentina E.
Motoc Iulia M.
Popescu-Bodorin Nicolaie
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