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In this paper, we present and compare three clustering approaches which group fingerprints according to its minutiae points locations. The best technique for grouping fingerprints is based on the ART1 clustering algorithm. We compare the quality of clustering of ART1 based clustering with k-mean clustering technique and self organizing neural network (SOM) [1] clustering algorithm in terms of intra-cluster...
In this paper, we present a novel approach to group fingerprints according to its minutiae point's locations. Our technique for grouping fingerprints is based on the ART1 neural network. We compare the quality of clustering of our ART1 based clustering technique with that of the self organizing neural network (SOM) clustering algorithm in terms of intra-cluster distances. Our results show that the...
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