DocumentCode :
1578892
Title :
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
Link To Document :
بازگشت