DocumentCode
3288366
Title
A novel method of fingerprint minutiae extraction based on Gabor phase
Author
Gao, Xin ; Chen, Xiaoguang ; Cao, Jia ; Deng, Zirui ; Liu, Chongjin ; Feng, Jufu
Author_Institution
Dept. of Machine Intell., Peking Univ., Beijing, China
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
3077
Lastpage
3080
Abstract
In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach is that the proposed algorithm is performed on the transform domain, i.e. the Gabor phase field of the fingerprint image. This is different from most existing minutiae extraction methods, in which the minutiae are usually extracted from the binarized and thinned fingerprint image. Experimental results on benchmark data sets demonstrate that the proposed algorithm has promising performances.
Keywords
feature extraction; fingerprint identification; image colour analysis; transforms; Gabor phase field; benchmark data sets; fingerprint image; fingerprint minutiae extraction; grey-scale images; transform domain; Detectors; Feature extraction; Fingerprint recognition; Frequency estimation; Image quality; Pixel; Software algorithms; Gabor phase; feature extraction; fingerprint; minutiae;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5648893
Filename
5648893
Link To Document