NDLI: Analysis of Statistical Feature Extraction for Iris Recognition System Using Laplacian of Gaussian Filter

Please wait, while we are loading the content...

Analysis of Statistical Feature Extraction for Iris Recognition System Using Laplacian of Gaussian Filter

Content Provider	Semantic Scholar
Author	Chouhan, Bhawna Shukla, Shailja
Copyright Year	2011
Abstract	Biometrics deals with identification of individuals based on their biological or behavioural characteristics. Iris recognition is one of the newer biometric technologies used for personal identification. It is one of the most reliable and widely used biometric techniques available. In general, a typical iris recognition method includes capturing iris images, testing iris liveness, image segmentation, and image recognition using traditional and statistical methods. Each method has its own strengths and limitations. In this paper, we present a novel approach for statistical feature by using Laplacian of Gaussian filter to iris recognition. Our goal is to develop best algorithm that enhances iris images, reduces noise to the maximum extent possible, extracts the important features from the image, and matches those features with data in an iris database. This approach will be simple and effective, and can be implemented in realtime. Experiments are performed using iris images obtained from CASIA database (Institute of Automation, Chinese Academy of Sciences) and Matlab application for its easy and efficient tools in image manipulation.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://ipublishing.co.in/jarvol1no12010/EIJAER2021.pdf
Alternate Webpage(s)	http://www.ipublishing.co.in/jarvol1no12010//EIJAER2021.pdf
Alternate Webpage(s)	http://www.ipublishing.co.in/jarvol1no12010/EIJAER2021.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in