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