An Effective Method for Fingerprint Classification
Computer Vision and Pattern Recognition
2012-11-21 v1 Cryptography and Security
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.
Cite
@article{arxiv.1211.4658,
title = {An Effective Method for Fingerprint Classification},
author = {Monowar H. Bhuyan and Sarat Saharia and Dhruba Kr Bhattacharyya},
journal= {arXiv preprint arXiv:1211.4658},
year = {2012}
}
Comments
9 pages, 7 figures, 6 tables referred journal publication. arXiv admin note: substantial text overlap with arXiv:1211.4503