This paper presents an effective fingerprint classification method designed based on a hierarchical agglomerative clustering technique. The performance of the technique was evaluated in terms of several real-life datasets and a significant improvement in reducing the misclassification error has been noticed. This paper also presents a query based faster fingerprint search method over the clustered fingerprint databases. The retrieval accuracy of the search method has been found effective in light of several real-life databases.
@article{arxiv.1211.4503,
title = {An Effective Fingerprint Classification and Search Method},
author = {Monowar H. Bhuyan and D. K. Bhattacharyya},
journal= {arXiv preprint arXiv:1211.4503},
year = {2012}
}
Comments
10 pages, 8 figures, 6 tables, referred journal publication