Fingerprint Image Segmentation using Modified Fuzzy C-Means Algorithm

被引：0

作者：

Kang, Jiayin ^{[1
]}

Zhang, Wenjuan ^{[2
]}

机构：

[1] Huaihai Inst Technol, Sch Elect Engn, Lianyungang, Peoples R China

[2] Huaihai Inst Technol, Sch Comp Engn, Lianyungang, Peoples R China

来源：

2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11 | 2009年

关键词：

fingerprint; segmentation; fuzzy c-means;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Fingerprint segmentation is a crucial step in fingerprint recognition system, and determines the results of fingerprint analysis and recognition. In this paper, an approach for fingerprint segmentation based on modified fuzzy c-means (FCM) is presented. The proposed algorithm is realized by modifying the objective function in the Szilagyi's algorithm via introducing the gray histogram-based weighting. Experimental results show that proposed method can extract the fingerprint effectively and efficiently from original image.

引用

页码：1910 / +

页数：2

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