A NOVEL METHOD OF FINGERPRINT MINUTIAE EXTRACTION BASED ON GABOR PHASE

被引:15
|
作者
Gao, Xin [1 ]
Chen, Xiaoguang [1 ]
Cao, Jia [1 ]
Deng, Zirui [1 ]
Liu, Chongjin [1 ]
Feng, Jufu [1 ]
机构
[1] Peking Univ, Key Lab Machine Percept, MOE Dept Machine Intelligence, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China
关键词
fingerprint; minutiae; feature extraction; Gabor phase; ENHANCEMENT;
D O I
10.1109/ICIP.2010.5648893
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:3077 / 3080
页数:4
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