NDLI: Efficient approach for iris recognition

Content Provider	Springer Nature Link
Author	Hamouchene, Izem Aouat, Saliha
Copyright Year	2016
Abstract	Iris texture is a natural password that has great advantages such as variability, stability, unique features for each person, and its importance in the security field. This makes an iris recognition system upper of other biometric methods used for human identification. Recent science is interested to develop intelligent systems able to identify persons based on the texture of their iris. We proposed a new feature extraction method based on local and directional texture information. The proposed feature extraction method gets both local and global relevant information and faster than commonly used method. In the experimental parts, our system is compared to other famous and recent iris recognition systems using CASIA iris dataset. Experiments demonstrate that the proposed system gives better recognition rate (99.96 %) compared to other systems.
Starting Page	1361
Ending Page	1367
Page Count	7
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	10
Issue Number	7
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2016-04-25
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Image processing Pattern recognition Iris recognition Texture analysis Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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