Figerprint Segmentation

Author

Helfroush, Mohammad Sadegh ; Mohammadpour, Mohsen

Author_Institution

Dept. of Electr. Eng., Shiraz Univ. of Technol., Shiraz

fYear

2008

Firstpage

1

Lastpage

5

Abstract

In a fingerprint recognition system only fingerprint region of scanned image should be taken into account. Hence, it is necessary the ROI to be segmented from background. Different methods have been proposed for fingerprint segmentation. In this paper, some of the most important methods are introduced and implemented. Then one of them is modified and based on it, an adaptive and supervised method is proposed. Finally, all of implemented methods and the proposed method are evaluated and compared to each other. The DB2_A of FVC2004 is selected as a standard database, to implement each method. The experimental results demonstrate the effectiveness of the proposed method, concerning the extraction of ROI, especially in low quality images.

Keywords

fingerprint identification; image segmentation; adaptive segmentation method; fingerprint recognition system; fingerprint segmentation; image database; image quality; supervised segmentation method; Feature extraction; Filter bank; Fingerprint recognition; Fingers; Gabor filters; Histograms; Image databases; Image matching; Image segmentation; Pixel; Fingerprint Segmentation; Mean; Ridge Orientation; Variance;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on

Conference_Location

Damascus

Print_ISBN

978-1-4244-1751-3

Electronic_ISBN

978-1-4244-1752-0

Type

conf

DOI

10.1109/ICTTA.2008.4530128

Filename

4530128