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arXiv · 1211.4658

An Effective Method for Fingerprint Classification

Monowar H. Bhuyan·Sarat Saharia·Dhruba Kr Bhattacharyya
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Abstract

This paper presents an effective method for fingerprint classification using data mining approach. Initially, it generates a numeric code sequence for each fingerprint image based on the ridge flow patterns. Then for each class, a seed is selected by using a frequent itemsets generation technique. These seeds are subsequently used for clustering the fingerprint images. The proposed method was tested and evaluated in terms of several real-life datasets and a significant improvement in reducing the misclassification errors has been noticed in comparison to its other counterparts.

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Monowar H. Bhuyan, Sarat Saharia, Dhruba Kr Bhattacharyya. 2012-11-20. An Effective Method for Fingerprint Classification. https://arxiv.org/abs/1211.4658

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