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Measuring Biometric Sample Quality in terms of Biometric Feature Information in Iris Images
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
This paper develops an approach to measure the information content in a biometric feature representation of iris images.
In this context, the biometric feature information is calculated using the relative entropy between the intraclass and interclass feature distributions.
The collected data is regularized using a Gaussian model of the feature covariances in order to practically measure the biometric information with limited data samples.
An example of this method is shown for iris templates processed using Principal-Component Analysis- (PCA-) and Independent-Component Analysis- (ICA-) based feature decomposition schemes.
From this, the biometric feature information is calculated to be approximately 278 bits for PCA and 288 bits for ICA iris features using Masek's iris recognition scheme.
This value approximately matches previous estimates of iris information content.
American Psychological Association (APA)
Youmaran, R.& Adler, A.. 2012. Measuring Biometric Sample Quality in terms of Biometric Feature Information in Iris Images. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-460119
Modern Language Association (MLA)
Youmaran, R.& Adler, A.. Measuring Biometric Sample Quality in terms of Biometric Feature Information in Iris Images. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-460119
American Medical Association (AMA)
Youmaran, R.& Adler, A.. Measuring Biometric Sample Quality in terms of Biometric Feature Information in Iris Images. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-460119
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460119