NDLI: Iris fusion for multibiometric systems

Content Provider	IEEE Xplore Digital Library
Author	Ghouti, L. Bahjat, A.A.
Copyright Year	2009
Description	Author affiliation: Information and Computer Science Department. King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia (Ghouti, L.; Bahjat, A.A.)
Abstract	The widespread interest in personal identification has increased the need for an accurate and efficient ways of identification, verification and authentication. Biometric-based personal identification systems have proven their superior performance. These systems rely on the person physiological traits such as the iris, fingerprint or face, etc. It is worth noting that these systems are more effective than conventional personal identification systems that are based on passwords and/or smartcards. In recent years, there has been emergence in the fusion/combination of multi-biometric traits to further enhance the performance of biometric systems. The latter are commonly known as multi-biometric systems. In this paper, we propose a novel scheme for the fusion of iris images prior to the feature level where we model the iris textures using the Generalized Gaussian Distribution (GGD). Then, a systematic pattern retrieval algorithm is applied in order to improve the accuracy of overall system. Normalized iris sub-images are fused based on a specific quality measure. Simulation results clearly indicate the improvement in performance due to the proposed iris fusion scheme.
Starting Page	248
Ending Page	253
File Size	5925236
Page Count	6
File Format	PDF
ISBN	9781424459490
e-ISBN	9781424459506
DOI	10.1109/ISSPIT.2009.5407577
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Feature extraction Iris recognition Fingerprint recognition Humans Security Algorithm design and analysis Computer science Petroleum Minerals Person Identification Biometric Iris Recognition Iris Texture Texture Modelling Information Security
Content Type	Text
Resource Type	Article

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

Robust person identification system using iris

Biometric person authentication: A review

Biometric Personal Identification Based on Iris Recognition

Multimodal biometric recognition using iris & fingerprint: By texture feature extraction using hybrid wavelets

Iris texture analysis and feature extraction for biometric pattern recognition.

Prolog To Iris Recognition: An Emerging Biometric Technology

Biometric personal identification based on iris patterns

A Low-Complexity Dynamic Face-Voice Feature Fusion Approach to Multimodal Person Recognition

Multibiometric Template Security Using Fuzzy Vault

Iris fusion for multibiometric systems

Similar Documents

Robust person identification system using iris

Biometric person authentication: A review

Biometric Personal Identification Based on Iris Recognition

Multimodal biometric recognition using iris & fingerprint: By texture feature extraction using hybrid wavelets

Iris texture analysis and feature extraction for biometric pattern recognition.

Prolog To Iris Recognition: An Emerging Biometric Technology

Biometric personal identification based on iris patterns

A Low-Complexity Dynamic Face-Voice Feature Fusion Approach to Multimodal Person Recognition

Multibiometric Template Security Using Fuzzy Vault

Iris fusion for multibiometric systems