NDLI: Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles

Content Provider	IEEE Xplore Digital Library
Author	Canuto, A.M.P. Pintro, F. Neto, A.F. Fairhurst, M.C.
Copyright Year	2010
Abstract	Biometric systems automatically recognize individuals based on their physiological and/or behavioral characteristics like fingerprint, face, hand-geometry, iris, retina, palmprint, voice, gait, signature, and keystroke dynamics. These systems offer several advantages over traditional forms of identity protection (e.g. password-based). Nevertheless, many biometric characteristics are immutable, resulting in permanent compromise when a template is stolen. In order to replace compromised biometric templates, the concept of cancellable biometrics has recently been introduced. The concept is to transform a biometric trait into a new one for enrollment and matching. Although cancellable biometrics were proposed to solve privacy concerns, the concept raises new issues, since they make the authentication problem more complex and difficult to solve. Thus, more effective authentication structures are needed to perform these tasks. In this paper, we investigate the use of ensemble systems in cancellable biometrics, using fingerprint-based identification to illustrate the possible benefits accruing. In order to perform this analysis, we have proposed a simpler version of a transformation function used to create cancellable fingerprint. The main aim of this paper is to analyze the performance of such well-established structures on transformed biometric data to determine whether they have a positive effect on the performance of this complex and difficult task.
Starting Page	55
Ending Page	60
File Size	269578
Page Count	6
File Format	PDF
ISBN	9781424483914
ISSN	15224899
DOI	10.1109/SBRN.2010.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-23
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fingerprint recognition Accuracy Arrays Iris recognition Three dimensional displays Transforms ensemble systems Cancellable biometric
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

An Experimental Study of Ensemble Systems on Cancellable Iris

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

Biometric Identification Using User Interactions with Virtual Worlds

Iris recognition for biometric identification using dyadic wavelet transform zero-crossing

Design of Embedded Multimodal Biometric Systems

Ensemble systems and cancellable transformations for multibiometric-based identification

Quality assessment of biometric systems: a comprehensive perspective based on accuracy and performance measurement

Biometric person authentication: A review

Assessment of privacy enhancing technologies for biometrics

Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles

Similar Documents

An Experimental Study of Ensemble Systems on Cancellable Iris

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

Biometric Identification Using User Interactions with Virtual Worlds

Iris recognition for biometric identification using dyadic wavelet transform zero-crossing

Design of Embedded Multimodal Biometric Systems

Ensemble systems and cancellable transformations for multibiometric-based identification

Quality assessment of biometric systems: a comprehensive perspective based on accuracy and performance measurement

Biometric person authentication: A review

Assessment of privacy enhancing technologies for biometrics

Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles