NDLI: Classification-based algorithms for iris outer edge location

Content Provider	IEEE Xplore Digital Library
Author	Ma Zheng Zheng Tao Pan Lili
Copyright Year	2009
Description	Author affiliation: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China (Zheng Tao) \|\| School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China (Ma Zheng)
Abstract	Algorithm design of iris outer edge location is one of keys in iris recognition. It dose ask for an excellent performance as well as an acceptable running time. Low-level technologies and simple classifiers are employed in this paper to meet these needs. First of all, we propose a gradient computation for point detection to ensure a shorter running time. In this part, points can be located as many as possible. Then classifiers distinguish points on fake boundaries and iris boundaries. The number of points will be dramatically cut down. One classifier bases on the characteristic shape of irises, one bases on the distances between points and pupil's center and the other bases on gray gradient of each point. At last, LSE (least square method) is employed to fit a curve of iris boundaries. The algorithm has been verified by experiments. The correct rate exceeds to 99% for public databases CASIA, while the running time is shortened to about 80ms.
Starting Page	493
Ending Page	496
File Size	4244038
Page Count	4
File Format	PDF
ISBN	9781424448869
DOI	10.1109/ICCCAS.2009.5250482
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Algorithm design and analysis Image edge detection Data security Detectors Waveguide discontinuities Robustness Classification algorithms Least squares methods Iris recognition
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
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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