Fingerprint Image Segmentation Using Modified Fuzzy C-Means Algorithm

Author

Kang, Jiayin ; Zhang, Wenjuan

Author_Institution

Sch. of Electron. Eng., Huaihai Inst. of Technol., Lianyungang, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

fingerprint identification; fuzzy logic; Szilagyi algorithm; fingerprint analysis; fingerprint image segmentation; fingerprint recognition system; gray histogram-based weighting; modified fuzzy c-means algorithm; Algorithm design and analysis; Clustering algorithms; Fingerprint recognition; Fuzzy systems; Image analysis; Image matching; Image segmentation; Iterative algorithms; Partitioning algorithms; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5162858

Filename

5162858