An Effective Method for Fingerprint Classification

Autor:	Bhuyan, Monowar H., Saharia, Sarat, Bhattacharyya, Dhruba Kr
Rok vydání:	2012
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Cryptography and Security 68U35 I.5.3
Zdroj:	International A. Journal of e-Technology, Vol. 1, No. 3, pp. 89-97, January, 2010
Druh dokumentu:	Working Paper
Popis:	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. Comment: 9 pages, 7 figures, 6 tables referred journal publication. arXiv admin note: substantial text overlap with arXiv:1211.4503
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1211.4658 Zobrazit plný text záznamu View this record from Arxiv