%0 Journal Article
%T An Effective Method for Fingerprint Classification
%A Monowar Hussain Bhuyan
%A Sarat Saharia
%A Dhruba Kr Bhattacharyya
%J International Arab Journal of e-Technology
%D 2010
%I Arab Open University
%X This paper presents an effective method for fingerprint classification using data mining approach. Initially, itgenerates a numeric code sequence for each fingerprint image based on the ridge flow patterns. Then for each class, a seed isselected by using a frequent itemsets generation technique. These seeds are subsequently used for clustering the fingerprintimages. The proposed method was tested and evaluated in terms of several real-life datasets and a significant improvement inreducing the misclassification errors has been noticed in comparison to its other counterparts.
%K Fingerprint image
%K ridge flow
%K frequent itemsets
%K clustering
%K misclassification
%U http://www.iajet.org/iajet_files/vol.1/no.3/An%20Effective%20Method%20for%20Fingerprint%20Classification.pdf