PLURALITY VOTING RANK FUSION METHOD

The plurality voting method is a positional method for rank aggregation which takes into account information about individuals' preference orderings. However, this method does not take into account a matcher's entire preference ordering, instead uses only information about each voter's most preferred alternative. This method is good for combining a small number of specialized matchers. In this method, the consensus ranking is obtained by sorting the identities according to their number of position in the top position. The algorithm is adopted from Abaza and Ross.

 Algorithm 1:             Plurality voting

o    Get three ranking lists from different biometric classifiers.

The highest rank method is good for combining a small number of specialized matchers and hence can be effectively used for a multimodal biometric system where the individual matchers perform well. In this method, the consensus ranking is obtained by sorting the identities according to their highest rank.

The steps in Algorithm 2 show the procedure of employing highest rank fusion method in a multimodal biometric system.

Algorithm 2: Highest rank

o    Get the ranking lists from different biometric classifiers.

o    For all ranking lists