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 :
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