Fingerprint image segmentation based on a combined method

Author

Juntao Xue ; Hongwei Li

Author_Institution

Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China

fYear

2012

fDate

2-4 July 2012

Firstpage

207

Lastpage

208

Abstract

Fingerprint image segmentation is part of preprocessing in fingerprint image recognition system. It has a critical effect to the fingerprint image recognition system. A combined method segmentation method is proposed in this article. We use the orientation field information combined with statistical characteristics of gray. The fingerprint image realized the second segmentation with the method proposed in this paper. The experimental results show that the method used in this paper achieves a good effect.

Keywords

fingerprint identification; image segmentation; statistical analysis; combined method segmentation method; fingerprint image recognition system; fingerprint image segmentation; gray statistical characteristics; orientation field information; Educational institutions; Feature extraction; Fingerprint recognition; Histograms; Image matching; Image recognition; Image segmentation; fingerprint image pre-processing; fingerprint segmentation; orientation field information; statistical characteristics of gray;

fLanguage

English

Publisher

ieee

Conference_Titel

Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2012 IEEE International Conference on

Conference_Location

Tianjin

ISSN

1944-9429

Print_ISBN

978-1-4577-1758-1

Type

conf

DOI

10.1109/VECIMS.2012.6273218

Filename

6273218