DocumentCode :
1568642
Title :
Iris Feature Extraction Using 2D Phase Congruency
Author :
Yuan, Xiaoyan ; Shi, Pengfei
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ.
Volume :
2
fYear :
2005
Firstpage :
437
Lastpage :
441
Abstract :
Iris feature extraction is the crucial stage of the whole iris recognition process for personal identification. A brief survey is made firstly in this paper on the methods that feasibly implemented in iris feature extraction. Because the iris capture devices in use are mostly exposed to the natural scene, so the natural illumination or other variant conditions sometimes can greatly influence the iris images captured and further impact the recognition result. Out of this consideration, we made some experimental try to extract the iris feature using the 2D phase congruency, which invariant to changes in intensity or contrast, to try to avoid those problems
Keywords :
authorisation; biometrics (access control); eye; feature extraction; image recognition; 2D phase congruency; image recognition; iris feature extraction; personal identification; Biometrics; Data mining; Feature extraction; Frequency; Gabor filters; Humans; Image processing; Iris recognition; Pattern recognition; Wavelet packets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2316-1
Type :
conf
DOI :
10.1109/ICITA.2005.166
Filename :
1489001
Link To Document :
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