DocumentCode :
3065110
Title :
Cross spectral iris matching based on predictive image mapping
Author :
Zuo, Jinyu ; Nicolo, Francesco ; Schmid, Natalia A.
Author_Institution :
Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
fYear :
2010
fDate :
27-29 Sept. 2010
Firstpage :
1
Lastpage :
5
Abstract :
An adaptive method to predict NIR channel image from color iris images is introduced. Both visual inspection of the predicted image and the verification performance indicate that the adaptive mapping linking NIR image and color image is a potential solution to the problem of matching NIR images vs. color images in practice. When matched against NIR enrolled image the predicted NIR image achieves significantly high performance compared to the case when the same NIR image is matched against R channel alone.
Keywords :
eye; image colour analysis; image matching; infrared imaging; iris recognition; NIR channel image prediction; color iris image; cross spectral iris matching; near infrared image; predictive image mapping; Image color analysis; Image segmentation; Iris; Iris recognition; Predictive models; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-7581-0
Electronic_ISBN :
978-1-4244-7580-3
Type :
conf
DOI :
10.1109/BTAS.2010.5634511
Filename :
5634511
Link To Document :
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