NDLI: Extended Depth of Field Iris Recognition with Correlation Filters

Content Provider	IEEE Xplore Digital Library
Author	Boddeti, N. Kumar, B.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng. & CyLab, Carnegie Mellon Univ., Pittsburgh, PA (Boddeti, N.; Kumar, B.)
Abstract	Iris recognition can offer high-accuracy person recognition, particularly when the acquired iris image is well-focused. However, some practical applications require that the iris recognition system perform well even when the eyes are not in the focal plane of the camera lens. Therefore, iris recognition using camera systems with a large depth of field is very desirable. One approach to achieve extended depth of field is to use a wavefront coding system as proposed by Dowski and Cathey which uses a cubic phase modulation mask whose effect is a linear operation. The conventional approach is to restore the iris images from the camera outputs and then apply iris recognition algorithms to the restored iris images. Some correlation filters are invariant to linear operations and should maintain their recognition performance even when the training and testing images are the unrestored (i.e., blurred due to wavefront coding) images produced by the extended depth of field imaging system. In this work we investigate the recognition performance of correlation filters and compare it with the popular iriscode method when the input images are unrestored images produced by the wavefront coding imaging system. We present results of simulations done with more than 1000 such unrestored wavefront coded iris images taken from the ICE database.
Starting Page	1
Ending Page	8
File Size	7599689
Page Count	8
File Format	PDF
ISBN	9781424427291
DOI	10.1109/BTAS.2008.4699371
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing Image recognition Image coding Eyes Phase modulation Nonlinear filters Cameras Image restoration Iris recognition Lenses
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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