Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27221
Title: An optimized wavelength band selection for heavily pigmented iris recognition
Authors: Gong, Y
Zhang, D 
Shi, P
Yan, J
Keywords: Cross wavelength matching
Iris recognition
Multispectral imaging
Issue Date: 2013
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on information forensics and security, 2013, v. 8, no. 1, 6327667, p. 64-75 How to cite?
Journal: IEEE transactions on information forensics and security 
Abstract: Commercial iris recognition systems usually acquire images of the eye in 850-nm band of the electromagnetic spectrum. In this work, the heavily pigmented iris images are captured at 12 wavelengths, from 420 to 940 nm. The purpose is to find the most suitable wavelength band for the heavily pigmented iris recognition. A multispectral acquisition system is first designed for imaging the iris at narrow spectral bands in the range of 420-940 nm. Next, a set of 200 human black irises which correspond to the right and left eyes of 100 different subjects are acquired for an analysis. Finally, the most suitable wavelength for heavily pigmented iris recognition is found based on two approaches: 1) the quality assurance of texture; 2) matching performance-equal error rate (EER) and false rejection rate (FRR). This result is supported by visual observations of magnified detailed local iris texture information. The experimental results suggest that there exists a most suitable wavelength band for heavily pigmented iris recognition when using a single band of wavelength as illumination.
URI: http://hdl.handle.net/10397/27221
ISSN: 1556-6013
EISSN: 1556-6021
DOI: 10.1109/TIFS.2012.2223682
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

6
Last Week
0
Last month
0
Citations as of Sep 8, 2017

WEB OF SCIENCETM
Citations

4
Last Week
0
Last month
0
Citations as of Sep 14, 2017

Page view(s)

44
Last Week
2
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.